748 Technology Management Jobs in India

Technical Project and Delivery Manager

Permanent full-time | Remote | One opening

Required joining date: on or before December 1, 2026.

Own day-to-day execution across our mobile, frontend, and backend/data teams. This is a non-coding role working closely with the technical lead, who retains ownership of technical direction.

Responsibilities

• Translate project priorities into clear tasks, owners, milestones, and delivery plans.
• Allocate team capacity, coordinate dependencies, and track progress across development and design.
• Identify delivery risks early, resolve blockers with the technical lead, and communicate decisions and trade-offs.
• Coordinate testing, release readiness, and mobile app store submissions with the engineering team.
• Maintain clear status updates and improve planning, handoffs, and follow-through in a remote team.

Essential skills and experience

• Experience managing software delivery across multiple developers and technical workstreams.
• Strong technical understanding of React Native, iOS and Android release processes, Next.js, and backend/API integrations.
• Ability to break down work, prioritize competing needs, and manage dependencies without daily founder intervention.
• Clear written communication, stakeholder coordination, and practical experience using project tracking tools.

Preferred experience

Experience coordinating mobile and web releases, working with distributed teams, and improving delivery processes in a growing team.

Application details

Share your CV, current location, expected compensation, notice period, and earliest confirmed joining date. Please also include a brief example of a software project you managed, including team size, your responsibilities, and how you handled a delivery risk.

Diploma in mechanical Engineering or BE in Mechanical engineering, and field and office work, instalation, coustomer compliments. marketing etc

Key Responsibilities

NPI / Build Execution

• Serve as Incubyte's on-the-ground engineering owner at the JDM, present for build events (EVT/DVT/PVT/MP) and day-to-day line activity.
• Drive build planning with the JDM: line setup, work instructions, fixture/tooling readiness, and build schedules, in line with the program plan set by the HQ Engineering.
• Own test and validation execution at the JDM — functional test, reliability/environmental test, safety/compliance test — ensuring test plans are followed and results are properly documented.
• Triage failures and defects in real time on the line; drive root cause analysis and corrective action with JDM engineering, escalating to Incubyte HQ hardware/firmware/quality teams and TPM as needed.
• Maintain and enforce the ECO/deviation process with the JDM — no unauthorized changes to BOM, process, or test procedures.
• Be the point of accountability for whether a build is "go" or "no-go" against exit criteria agreed with the HQ team.
• 
  

Program Support (Feeding into HQ TPM)

• Execute against the master build/validation schedule owned by the HQ TPM — flag local dependencies, delays, or blockers as they arise.
• Surface schedule, quality, and supply risks observed on-site promptly to the HQ TPM for the program risk register, rather than owning that register directly.
• Coordinate component/material readiness on-site with the JDM and local supply chain contacts, reporting line-down risk to the HQ TPM.
• Participate in the program's status cadence (daily stand-ups during builds, weekly program reviews) with accurate, timely local data: yield, open issues, schedule variance.
• Keep the shared action-item/issue tracker current for items owned locally, and drive them to closure with the JDM.
• Provide the HQ TPM with clear, data-backed local status updates so program-level reporting and decisions can happen at HQ.

Requirements

• 5-8+ years in NPI, technical program management, manufacturing engineering, or test engineering for electronic hardware products (cameras, sensors, IoT devices, or similar preferred).
• Direct experience running or supporting builds at a contract manufacturer or JDM/ODM, ideally in India or greater Asia.
• Working knowledge of DFM/DFT, test fixture design/bring-up, statistical process control, planning tools like Microsoft Project or Smartsheet.
• Comfortable reading schematics, BOMs, and mechanical drawings; able to communicate technical issues clearly across engineering, quality, and ops.
• Experience with ECO processes, deviation/waiver tracking, and formal build exit criteria.
• Strong bias for being physically present on the line, with the discipline to track and report status accurately to a remote program owner.
• Able to work Gurugram-based hours with overlap into Incubyte's US working hours for HQ TPM syncs and escalations.
• Bachelor's degree in Electrical, Mechanical, or Industrial Engineering (or equivalent experience).

Job Title: Project Planning & Risk Analysis Engineer

• Experience: 3-4 years
• Qualification: Diploma/Bachelor’s degree in Civil Engineering
• Required Skills:
• Mandatory hands-on experience with Project Analyzer and XER Toolkit.
• Knowledge of Primavera P6 project schedules and XER files.
• Knowledge of VB scripting / VBA for automation.
• Understanding of civil engineering and on-site construction activities.
• Experience in project planning, scheduling, and progress monitoring.
• Knowledge of quality checks, project analysis, and risk assessment.
• Experience in project reporting and documentation.
• Good analytical and problem-solving skills.
• Key Responsibilities:
• Analyze Primavera P6 schedules using Project Analyzer and XER Toolkit.
• Identify schedule discrepancies, delays, dependencies, and project risks.
• Perform project quality checks and schedule analysis.
• Prepare project analysis reports and recommendations.
• Automate reporting and repetitive tasks using VB scripting.
• Coordinate with project planners, site engineers, and project management teams.

HR Screening Note: Prioritize candidates with hands-on experience in both Project Analyzer, Primavera P6 and XER Toolkit. 

🚨 HIRING | Data Engineer – Amazon EMR 🔥

We are looking for experienced Data Engineers with strong hands-on expertise in Amazon EMR, Python, and Scala.

📌 JOB DETAILS:

💼 Experience: 6+ Years

💰 CTC: Up to 30 LPA

📍 Location: Bangalore

🔑 MANDATORY SKILLS:

• Amazon EMR

• Python

• Scala

• Data Engineering

📋 KEY REQUIREMENTS:

• 6+ years of relevant experience in Data Engineering.

• Strong hands-on experience with Amazon EMR.

• Strong programming skills in Python and Scala.

• Experience with large-scale data processing and data engineering solutions.

• Strong problem-solving and communication skills.

📩 Interested candidates can share their updated resumes:

📧 pavithra.e @vysystems. com

📞 8 9 2 5 8 0 2 4 5 7

🔄 Know someone who would be a good fit? Tag them or share this post!

#Hiring #DataEngineer #DataEngineering #AmazonEMR #Python #Scala #AWSJobs #BangaloreJobs #ITJobs #TechHiring #HiringNow

Senior Planning & Designing Engineer

Company: Hello Power Private Limited

Location: Bengaluru

Experience: 4–5 Years

Qualification: B.E./B.Tech./M.Tech – EEE

Joining: Immediate Joiners Preferred

Key Responsibilities:

• Electrical planning, designing, and detailed engineering.
• Prepare and review SLDs, electrical layouts, schematics, and drawings.
• Prepare load schedules, cable schedules, BOQ, and material specifications.
• Perform electrical calculations, equipment selection, and system design.
• Coordinate with Project, Procurement, Estimation, and Site Engineering teams.
• Review drawings and ensure compliance with applicable electrical standards.
• Provide technical support for site execution and design modifications.

Required Skills:

• Strong knowledge of Electrical Planning & Designing.
• Proficiency in AutoCAD and electrical design software.
• Knowledge of HT/LT systems, transformers, panels, cables, earthing, and protection systems.
• Good understanding of electrical calculations, BOQ, and technical documentation.
• Strong communication, coordination, and problem-solving skills.

Preferred: Candidates from Bengaluru / Karnataka with relevant project experience and immediate/short notice availability.

Key Responsibilities

• Lead and manage the software development function, including developers, technical leads, architects, and QA engineers.
• Define and execute the software development roadmap in alignment with the company's business strategy and growth objectives.
• Oversee the design, development, testing, deployment, and maintenance of scalable, secure, and high-performance software applications.
• Lead the development and enhancement of fintech platforms, financial applications, payment solutions, and digital financial products, as applicable.
• Drive API development, third-party integrations, banking integrations, payment gateway integrations, and other financial technology integrations.
• Establish software architecture standards, coding practices, development methodologies, and engineering best practices.
• Ensure application security, data protection, system reliability, scalability, and performance across software platforms.
• Drive the adoption of modern technologies, cloud-based solutions, DevOps practices, automation, and CI/CD pipelines.
• Oversee software development life cycles, sprint planning, release management, quality assurance, and production support.
• Establish engineering KPIs, monitor team performance, and ensure timely delivery of high-quality software solutions.
• Collaborate with Product, Business, Compliance, Information Security, and Operations teams to translate business requirements into effective technology solutions.
• Ensure software development processes adhere to applicable regulatory requirements, security standards, internal policies, and IT governance practices.
• Manage technology budgets, external development partners, software vendors, and resource allocation.
• Mentor and develop engineering leaders, build a high-performing technology team, and foster a culture of innovation, accountability, and continuous improvement.
• Identify opportunities for process optimization, technical debt reduction, and improvement in software delivery efficiency.

Required Qualifications & Experience

• Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.
• 15–20+ years of experience in software development, engineering, and technology delivery, with approximately 20 years preferred.
• Significant experience in leading software development teams and managing large-scale application development initiatives.
• Strong expertise in software architecture, system design, API development, databases, microservices, and distributed systems.
• Experience with modern programming languages, frameworks, cloud platforms, DevOps, CI/CD, and software engineering tools.
• Proven experience in developing scalable, secure, and high-availability applications.
• Experience in fintech, banking, payments, digital lending, financial services, or related technology domains is preferred.
• Understanding of financial data security, application security, regulatory compliance, and secure software development practices.
• Demonstrated ability to manage multiple projects, engineering teams, delivery timelines, and technology priorities.
• Excellent leadership, strategic planning, analytical, stakeholder management, and communication skills.

Work Location: In person

We are looking for a hands-on Voice AI Engineer to own the technical delivery of an enterprise voice automation program for an industrial equipment and services business.

You will take the solution from discovery and architecture through agent development, integrations, testing, deployment and ongoing optimisation. The initial focus is inbound calls across service, parts and rental, with approximately 300 calls per day.

This role suits someone who can turn a working demonstration into a reliable production service and work directly with customer teams to make it effective.

What you will build

A connected Voice AI solution that answers calls on existing business numbers, identifies customers and equipment, understands requests and routes conversations to the appropriate workflow.

The solution will capture structured call records, integrate with existing CRM and service-management systems, and transfer urgent or complex calls to people. Customer and equipment information will come from a database refreshed through scheduled data synchronisation.

Your responsibilities

• Own technical delivery: Translate business requirements into architecture, implementation plans, integration specifications and acceptance criteria.
• Build voice agents: Develop reception and specialist agents for service, parts and rental, with shared context and reliable hand-offs.
• Improve conversation quality: Configure speech recognition, voice generation and language models. Optimise latency, interruptions, turn-taking, pronunciation and handling of background noise.
• Implement telephony: Configure inbound routing, existing-number connectivity, concurrent calls, live transfers, after-hours handling and fallback routes.
• Connect business systems: Build APIs, webhooks and middleware for CRM, service queues and customer databases. Implement scheduled synchronisation, retries and duplicate prevention.
• Capture usable records: Generate accurate summaries and structured fields covering customer details, equipment, reason for calling, urgency, outcomes and relevant sales interest.
• Build safeguards: Implement call-duration and monthly-usage caps, alerts, escalation rules and checks that requests have been successfully logged.
• Test and launch: Develop realistic test scenarios, run integration and load testing, support customer acceptance testing and manage production deployment.
• Operate and improve: Monitor call quality, integration failures, latency and cost per minute. Investigate incidents and refine agent behaviour using transcripts and customer feedback.
• Document the solution: Maintain architecture diagrams, configuration records, deployment procedures and operational runbooks.

What we are looking for

• Strong development skills in Python and/or JavaScript/TypeScript.
• Experience shipping at least one Voice AI or conversational AI solution into production.
• Hands-on understanding of speech-to-text, text-to-speech, language models and tool/function calling.
• Experience with telephony APIs, SIP, call routing and human transfers.
• Strong API integration skills, including authentication, webhooks and asynchronous processing.
• Working knowledge of SQL databases, data synchronisation and cloud deployment.
• Experience with logging, monitoring, error handling and production troubleshooting.
• Ability to implement secure access, protect personal information and manage recordings and transcripts appropriately.
• Confidence working directly with customers, explaining technical trade-offs and taking ownership of delivery.

Useful additional experience

• Multi-agent orchestration and context management.
• Integration with enterprise CRM, workflow or document-management platforms.
• Retrieval-based knowledge systems and structured information extraction.
• Contact-centre, field-service, equipment rental or industrial service workflows.
• Automated conversation testing and evaluation.

What success looks like

• A stable deployment that meets agreed call-handling and integration targets.
• Clear, natural conversations with appropriate escalation to people.
• Accurate service requests and sales leads reaching the correct systems.
• Reliable controls over usage, cost and failure handling.
• Measurable improvements following testing and customer feedback.

Why join

You will own a live enterprise implementation from the first technical discussion through production operations. You will have direct access to decision-makers and the opportunity to build reusable components for future Voice AI deployments.

How to apply

Share your CV and a brief description of a Voice AI solution you have built. Explain your personal contribution, the integrations involved and one production challenge you solved.

Education: B.E. Computer Science/IT degree (or any other engineering discipline)

Experience: 9+ years

 Work timings: 2:00 TO 11:00PM/ 6:30PM to 3:30 AM

Position Requirements:

• Program Strategy & Planning
• Own program charters, end-to end roadmaps, success criteria and alignment to business objectives.
• Translate company strategy into clear program priorities, milestones, and resource plans across multiple teams.
• Lead quarterly and long-range capacity planning, balancing scope, resources and timelines across workstreams.

•          Program Execution & Delivery

• Drive delivery of large, technically complex programs comprising multiple projects and teams; ensure on-time, high-quality outcomes.
• Orchestrate cross-functional dependencies, manage sequencing, and remove organizational impediments.
• Operate program-level release, milestone and launch processes; maintain program schedules and integrated plans.

•          Technical Leadership & Influence

• Maintain technical fluency across systems (APIs, services, data, infra, web and mobile platforms) to identify risks, trade-offs, and integration concerns.
• Partner with engineering leads and architects to surface technical dependencies, propose solutions, and influence technical direction.
• Lead technical intake, prioritization and change control for program scope.

•          AI Programs & Governance

• AI-specific program accountability: Own model lifecycle programs (experimentation → validation → deployment → monitoring → scale), model risk management, and coordination with MLOps and data science teams.
• Governance and control: Implement and maintain governance for clinical, editorial, regulatory, and AI-specific risks (bias, explainability, monitoring), coordinating policies and controls with legal, compliance, and domain stakeholders.
• Offshore reality: Design and operate for distributed teams—ensure timezone overlap strategies, clear escalation mechanics, minimize decision latency, and define RACI for offshore/onshore handoffs.
• Experience in mentoring engineering teams to integrate AI assistants into their daily development workflows to increase velocity and code quality.

•          Stakeholder Management & Communication

• Serve as primary program owner for senior leadership and business partners; run steering committees and executive reviews.
• Produce concise executive-level reporting (status, risks, mitigation, outcomes) and tailor communications for diverse audiences.
• Build strong cross-functional relationships and drive alignment through regular touchpoints and stakeholder feedback loops.

 •          Risk, Budget & Vendor Management

• Develop and maintain program-level risk registers, contingency plans, and escalation protocols.
• Manage program budgets, track spend vs. plan, and coordinate with finance and procurement as needed.
• Own vendor/third-party integration and delivery where applicable.

•          Process, Tools & Automation

• Establish program governance, templates, and tooling conventions to improve visibility and efficiency.
• Identify automation and tooling opportunities (including AI-assisted tooling) to reduce manual work and improve program telemetry.
• Drive PMO maturity: scalable processes, reporting, and knowledge management across the organization.

•          Measure Impact

• Define and track program success metrics and business outcomes; iterate to maximize value delivery.
• Ensure learnings are captured and operationalized for future programs.

Role & Responsibilities:

• 10+ years of program or technical project management experience delivering large-scale technical programs in fast-paced, matrixed organizations.
• Proven track record driving multi-team, cross-functional technical initiatives from concept to measurable business outcomes.
• Strong technical literacy (experience with APIs, backend services, cloud infrastructure, data flows and integrations).
• Advanced proficiency with Agile at scale methodologies (e.g., SAFe, LeSS, or equivalent) and deep SDLC knowledge.
• Experience with capacity planning, roadmaps, dependency management, and cross-team prioritization.
• Expert-level proficiency in JIRA and Confluence; comfortable with program/portfolio tooling (Aha!, Productboard, Roadmunk, Airtable, Smartsheet, BI dashboards).
• Excellent stakeholder management and executive communication skills; proven ability to influence without direct authority.
• Strong analytical and problem-solving skills; data-driven mindset.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Fluent English.

•          Preferred

• Certifications such as PMP, CSM, SAFe Program Consultant (SPC), or equivalent.
• Experience in digital publishing, web/content platforms, AI/ML products, healthcare information systems, or digital media.
• Experience managing program budgets and vendor/contract relationships.
• Familiarity with emerging project automation and Agentic AI tools for program management and decision support.
• Prior experience mentoring PMs and leading PMO or program-level process change initiatives.

About Solutionara

Solutionara is a U.S.-based IT Consulting and Technology Services firm with a Global Delivery Center in Noida, India.

As a fast-scaling consulting firm, we operate with high ownership, lean teams, and disciplined execution. We are also evolving toward an AI-enabled delivery model, focused on enterprise integration, digital transformation, and scalable technology solutions for global clients.

Our GDC plays a critical role in building high-impact engineering and delivery teams while driving operational excellence through structured processes and intelligent automation.

Location: Noida, Uttar Pradesh | On-site

Experience: 5–9 Years

Employment: Full-Time

Industry: IT Consulting & Technology Services

About the Role

Solutionara is looking for a Technical Project Manager – Enterprise Technology to join our Global Delivery Center in Noida.

This is a hands-on technology delivery role for someone who can operate effectively between project management and engineering teams. You will be responsible for translating technical work into structured delivery plans, coordinating cross-functional engineering teams, managing technical dependencies and risks, and driving projects from planning through deployment and stabilization.

You will work closely with Solution Architects, Technical Leads, Developers, Integration Engineers, Data Engineers, DevOps, QA, Business Analysts, client stakeholders, and vendors.

This role requires more than maintaining Jira boards and scheduling meetings. We are looking for someone who understands how technology projects are actually delivered and can ask the right questions when architecture, environments, APIs, integrations, infrastructure, data, testing, or deployment dependencies begin affecting the plan.

What You'll Do

Technical Project Delivery

• Manage technology projects from requirements and planning through development, integration, testing, deployment, and hypercare.
• Build and maintain detailed project plans, milestones, technical workstreams, dependencies, deliverables, and release schedules.
• Translate technical activities and engineering estimates into executable delivery plans.
• Coordinate work across application development, integration, cloud/DevOps, data, QA, architecture, and infrastructure teams.
• Understand technical blockers sufficiently to identify their delivery impact and drive the appropriate teams toward resolution.
• Challenge assumptions, timelines, estimates, and dependencies when delivery risks emerge.
• Ensure technical decisions, dependencies, assumptions, and actions are documented and followed through.

Delivery Governance & Control

• Maintain RAID logs, dependency trackers, decision logs, action items, milestones, and project health indicators.
• Identify schedule, resource, technical, environmental, integration, and deployment risks before they become delivery failures.
• Establish clear ownership and due dates for risks, issues, dependencies, and actions.
• Track planned versus actual progress and develop recovery plans when projects begin to slip.
• Manage scope changes and coordinate impact assessments across schedule, resources, technical dependencies, and delivery commitments.
• Escalate issues with clear impact, options, recommendations, and required decisions.
• Maintain accurate project documentation and delivery visibility for leadership and stakeholders.

Engineering & Cross-Functional Coordination

• Work closely with Solution Architects and Technical Leads to understand solution architecture and implementation dependencies.
• Coordinate API, integration, application, infrastructure, data, security, environment, and testing dependencies.
• Facilitate technical planning and dependency discussions across engineering teams.
• Coordinate development readiness, QA readiness, UAT, release readiness, cutover, deployment, and production stabilization.
• Ensure environments, access, infrastructure, test data, interfaces, and external dependencies are available when required.
• Track defects, technical blockers, and production-readiness items through closure.
• Support technical teams without attempting to replace the engineering or architecture functions.

Client & Stakeholder Management

• Participate in and lead client status meetings, delivery reviews, technical coordination meetings, and project governance discussions.
• Communicate technical issues in clear business and delivery terms.
• Provide concise project health reporting covering progress, risks, dependencies, decisions, and upcoming milestones.
• Manage stakeholder expectations around scope, timelines, dependencies, and delivery risks.
• Coordinate across India and global teams working in distributed delivery environments.
• Maintain professional, transparent communication when projects encounter delays or technical challenges.

Agile, Release & Delivery Management

• Facilitate sprint planning, backlog readiness, delivery reviews, retrospectives, and other Agile ceremonies where applicable.
• Work with engineering leads to ensure stories and technical activities are sufficiently understood before execution.
• Track sprint commitments without treating Agile metrics as a substitute for actual delivery outcomes.
• Coordinate release planning, UAT, change readiness, cutover activities, go-live, and hypercare.
• Support Agile, Scrum, Waterfall, and hybrid delivery models based on project and client requirements.

AI-Assisted Project Delivery

• Use AI and automation tools to improve project planning, documentation, meeting outputs, risk identification, status reporting, and delivery visibility.
• Identify repetitive project-management activities that can be automated or streamlined.
• Encourage responsible use of AI within project workflows while maintaining appropriate review, confidentiality, and accountability.
• Help Solutionara evolve toward a more data-driven and AI-enabled technology delivery model.

What We're Looking For

• 5–9 years of overall experience in technology delivery, with meaningful experience as a Technical Project Manager, Project Manager, Technical Program Manager, Delivery Lead, or similar role.
• Experience managing software engineering, enterprise application, cloud, integration, data, infrastructure, or digital transformation projects.
• Strong understanding of the Software Development Life Cycle (SDLC) and how software moves from requirements through development, testing, release, and production.
• Sufficient technical fluency to communicate effectively with Architects, Developers, DevOps Engineers, Integration Engineers, QA, and other technical specialists.
• Hands-on experience with project planning, RAID management, dependency management, risk management, change control, and delivery reporting.
• Experience coordinating multiple technical workstreams and dependencies.
• Ability to identify when a technical issue affects the critical path and drive appropriate recovery actions.
• Strong client and stakeholder communication skills.
• Ability to bring structure, ownership, and accountability to ambiguous or fast-moving technology projects.
• Strong problem-solving and escalation-management skills.
• Comfortable working in a fast-paced consulting and Global Delivery Center environment.

Technical Fluency

The Technical Project Manager is not expected to be the Solution Architect or primary developer, but should be comfortable discussing and managing delivery around concepts such as:

• REST/SOAP APIs and enterprise integrations
• Application and microservices architecture
• Cloud infrastructure and AWS/Azure environments
• CI/CD and DevOps pipelines
• Databases and data dependencies
• Development, QA, UAT, staging, and production environments
• Authentication, access, networking, and security dependencies
• Deployment, cutover, rollback, and production support
• Defects, logs, monitoring, incidents, and root-cause analysis

The TPM should be able to understand what is blocked, why it matters, who owns it, what it affects, and what needs to happen next.

Preferred Experience

Experience in one or more of the following areas would be an advantage:

• Enterprise Integration – Dell Boomi, APIs, Middleware, EDI
• AWS or Azure Cloud
• DevOps and CI/CD
• Data Engineering or Data Platforms
• ERP, WMS, CRM, PIM/DAM, or enterprise applications
• Application or legacy modernization
• Microservices and API-led architectures
• Digital portals and enterprise applications
• U.S. or global client delivery
• Consulting or technology services organizations
• Onsite-offshore / Global Delivery Center delivery models

What Success Looks Like

• Projects have clear plans, ownership, milestones, and technical dependencies.
• Risks and blockers are identified early rather than discovered at the point of failure.
• Engineering teams have the information, access, environments, and decisions required to execute.
• Technical issues are translated into clear schedule and business impact.
• Delivery commitments are actively managed rather than simply reported.
• Clients and leadership receive accurate and timely visibility into project health.
• Releases and go-lives are planned, controlled, and supported through stabilization.
• Project-management overhead is reduced through effective use of automation and AI.
• Technical teams view the TPM as someone who helps delivery move forward, not simply someone who asks for status updates.

Why Join Solutionara?

• Manage meaningful enterprise technology and transformation initiatives.
• Work directly with experienced architects, engineering leaders, and global clients.
• Build exposure across Cloud, Integration, Data, DevOps, AI, and Digital Transformation.
• Develop toward broader Senior Project Manager, Program Manager, or Technology Delivery leadership responsibilities.
• Have real ownership of technology delivery rather than operating solely as a PMO coordinator.
• Help shape delivery practices as our Noida Global Delivery Center continues to scale.
• Work in an environment actively incorporating AI and automation into technology delivery.

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Job Description – Data / Metadata Engineer

Position

Data / Metadata Engineer

Location

Pune

Experience

• 6–9 Years: Up to 28 LPA
• 10–17 Years: Up to 32 LPA

Notice Period

Immediate to 15 Days Joiners Preferred

Role Overview

We are looking for an experienced Data / Metadata Engineer with strong expertise in Data Engineering, Metadata Management, Data Modeling, Cloud technologies, Python/PySpark, and ETL/Data Pipelines.

The ideal candidate should have hands-on experience designing and developing data solutions, working with metadata and data models, and building scalable data pipelines on cloud platforms.

Mandatory Skills

• Strong experience in Data Engineering
• Hands-on experience in Metadata Management / Metadata Engineering
• Strong understanding of Data Modeling
• Experience with DDL and ER/Data Modeling
• Experience with Cloud technologies – Any Cloud Platform
• Strong programming experience in Python or PySpark
• Experience with ETL processes and Data Pipelines
• Good understanding of data architecture and data integration concepts

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions.
• Develop and manage data pipelines and ETL workflows.
• Work with metadata and data cataloging concepts.
• Create and maintain data models, DDLs, ER diagrams, and database structures.
• Develop data processing solutions using Python or PySpark.
• Work with cloud-based data platforms and services.
• Collaborate with Data Architects, Data Engineers, Developers, and Business teams.
• Ensure data quality, consistency, availability, and reliability across data pipelines.
• Troubleshoot and optimize existing data pipelines and data processes.
• Follow best practices for data engineering, modeling, and cloud-based implementations.

Candidate Profile

• Strong experience in Data Engineering + Metadata + Data Modeling.
• Good hands-on experience with Python/PySpark and ETL/Data Pipelines.
• Experience working with any major cloud platform.
• Strong understanding of databases, data structures, and data modeling concepts.
• Candidates who can join immediately or within 15 days are preferred.

Job Details

Role: Data / Metadata Engineer

Location: Pune

Experience: 6–17 Years

Budget: 28 LPA (6–9 Yrs) / 32 LPA (10–17 Yrs)

Notice Period: Immediate to 15 Days

Principal Software Engineer

Location: Bangalore India

Department: AI Engineering / Quality Assurance

Experience Level: Mid to Senior

We are looking for a highly motivated Senior AI Test / Automation Engineer to design and scale automated validation frameworks for AI/ML models, LLM-based applications, and agentic systems. This role is critical to ensure that AI solutions meet enterprise standards for quality, reliability, safety, and compliance before and after production deployment.

Key Responsibilities

• Build and maintain AI test automation frameworks for pre-qualification and continuous validation of models and agent workflows
• Develop comprehensive test suites, including:
• Unit, integration, and end-to-end (E2E)
• Functional, regression, performance, and safety testing
• Validate AI system behavior, including:
• Non-deterministic LLM outputs
• Hallucinations and edge cases
• Multi-step agent decision-making
• Design and manage evaluation systems:
• Golden datasets
• Benchmarking pipelines (accuracy, latency, reliability)
• Automate testing within CI/CD pipelines for model updates, prompt changes, and tool integrations
• Implement observability and telemetry to enable traceability, monitoring, and audit readiness
• Collaborate cross-functionally with ML, MLOps, Product, and Security teams to define quality gates and release criteria
• Track and report quality KPIs, including test coverage, defect leakage, and system reliability
• Drive root-cause analysis and continuous improvement across the AI testing lifecycle

Required Skills

Core Engineering

• Strong programming skills in Python; familiarity with Bash, TypeScript, or Go
• Experience with test automation frameworks such as PyTest, Playwright, Selenium, or Cypress
• Proficiency in CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Experience with cloud platforms (AWS, Azure, GCP) and containers (Docker, Kubernetes)

AI / ML & Agentic Systems

• Hands-on experience with LLM ecosystems (OpenAI, Anthropic, Bedrock)
• Familiarity with:
• RAG architectures and vector databases (Pinecone, Weaviate)
• Agent frameworks (LangChain, LlamaIndex, AutoGen)

AI Testing Techniques

• Experience with non-deterministic testing approaches (statistical assertions, tolerance thresholds)
• Knowledge of evaluation methods:
• LLM-as-a-judge
• BLEU, ROUGE, semantic similarity scoring
• Experience with prompt and agent regression testing
• Understanding of AI safety testing, including adversarial testing, bias/fairness validation, and jailbreak detection

Tooling (Preferred)

• AI testing & observability tools: LangSmith, TruLens, Arize, Weights & Biases
• Evaluation tools: DeepEval, Ragas, PromptFoo, Giskard
• Monitoring: Prometheus, Grafana, OpenTelemetry

Soft Skills

• Strong analytical and problem-solving skills
• Excellent communication and cross-functional collaboration
• Data-driven mindset with focus on quality KPIs
• Detail-oriented with a strong bias toward automation and scalability

Experience Requirements

• 7+ years in QA, SDET, or test automation engineering
• Proven experience building and scaling automation frameworks
• Hands-on experience with AI/ML systems or LLM-based applications
• Experience testing RAG pipelines or agentic workflows
• Owned end-to-end AI test strategy and architecture
• Defined quality metrics and release gates
• Delivered scalable validation pipelines for production AI systems
• Supported audit and compliance readiness

Preferred

• Experience in enterprise or regulated environments (SOC2, ISO 27001, etc.)
• Exposure to:
• Shift-left testing practices
• Production observability and monitoring
• Chaos or resilience testing

Senior-Level Differentiators

Education

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field

Nice-to-have:

• ISTQB certification
• Cloud/ML certifications (AWS, Azure, GCP)
• AI testing certifications

What Success Looks Like

• AI systems that are accurate, reliable, and safe
• Fully automated test pipelines integrated into CI/CD
• Measurable improvements in defect leakage and model quality
• Strong observability and auditability across AI systems
• Scalable validation frameworks supporting rapid AI innovation

The person should have working experience in Preventive and breakdown maintenance of Air Conditioning systems, VRV units, DX systems, stability chambers, cold rooms(2Deg C to 8 Deg C & -40 Deg C), Deep Freezers, lyophilizer compressors, refrigeration skids, Chillers and other refrigeration equipment associated with QC laboratory and process equipment in Injectable plant.

He should be well versed with GMP environment & Documentation.

We are hiring a Chief Agentic Systems Architect 

WHAT YOU’LL DO

AGENT‑OPERABLE SYSTEM ARCHITECTURE

• Decompose legacy monoliths into agent‑readable, modular systems with strict boundaries and single responsibility
• Lead incremental modernization using the Strangler Pattern, wrapping legacy logic in modern, contract‑driven interfaces
• Enforce SOLID principles, Dependency Injection, and Hexagonal Architecture to ensure deterministic AI execution and low regression risk

AGENTIC FRAMEWORK & MCP LEADERSHIP

• Architect and maintain the agent context layer: standardized Skills, Rules, and Commands for AI‑driven engineering workflows
• Build and operate Model Context Protocol (MCP) servers exposing legacy APIs, services, and databases as typed, secure, AI‑consumable tools
• Own contract‑first API design as the primary interface between human intent and autonomous agent execution

ENGINEERING GOVERNANCE & AI QUALITY CONTROL

• Act as architectural gatekeeper for AI‑generated pull requests, ensuring scalability, security, and long‑term maintainability
• Mandate test‑driven development (TDD) and characterization testing to preserve legacy behavior during refactoring
• Monitor and optimize agentic reasoning loops to balance cost, speed, and architectural integrity

WHAT WE’RE LOOKING FOR

• 15+ years in software architecture, platform engineering, or technical leadership
• Proven experience modernizing large, undocumented legacy systems
• Deep hands‑on expertise with TypeScript, .NET, and Node.js
• Strong background in API design, distributed systems, and modular architectures
• Practical experience with agentic development, MCP, LLM tooling, or AI‑assisted engineering

Key Skills:

• Agentic AI / AI Agents

• Python or Java

• LLMs & Generative AI

• RAG & Vector Databases

• LangChain / LangGraph / AutoGen / CrewAI

• REST APIs & Microservices

• Prompt Engineering

• AI Workflow Automation

Roles & Responsibilities:

• Design and develop AI agents and agentic workflows

• Build scalable backend services using Python or Java

• Integrate LLMs, APIs, tools, and external systems into AI workflows

• Develop RAG-based solutions and intelligent automation

• Design multi-step AI workflows with tool/function calling

• Evaluate, monitor, and optimize AI agent performance

• Collaborate with engineering and product teams to deliver production-ready AI solutions

Key Responsibilities

Platform Monitoring and Reliability

• Monitor the health and performance of EDM’s advertiser, publisher, broker, and internal platforms.
• Maintain monitoring, alerting, logging, and system-health dashboards.
• Investigate platform outages, degraded performance, failed transactions, delayed data, and integration errors.
• Respond to production incidents and coordinate resolutions with the appropriate engineers and vendors.
• Perform root-cause analysis and document corrective and preventive actions.
• Help maintain defined uptime, response-time, recovery-time, and system-reliability targets.
• Identify recurring problems and recommend permanent solutions.

Cloud Infrastructure and Systems Operations

• Maintain and support cloud infrastructure, servers, databases, networks, storage, and production environments.
• Support development, staging, and production environments.
• Assist with infrastructure scaling, system upgrades, patching, backups, and disaster recovery.
• Monitor cloud usage and help control infrastructure and technology costs.
• Maintain access controls, service accounts, certificates, domain configurations, and environment variables.
• Ensure production systems are properly documented and recoverable.

Deployment and Release Support

• Support safe and consistent application deployments.
• Maintain or improve continuous integration and deployment workflows.
• Coordinate release schedules, deployment validation, rollback procedures, and post-release monitoring.
• Help engineering teams identify configuration or infrastructure problems before releases reach production.
• Maintain deployment documentation, technical checklists, and change logs.
• Reduce manual deployment work through automation.

API and Integration Support

• Monitor and troubleshoot third-party APIs, webhooks, postbacks, dialer connections, CRM integrations, payment systems, tracking platforms, and compliance services.
• Investigate failed lead deliveries, missing postbacks, duplicate records, delayed reporting, and authentication problems.
• Support ping-post, real-time bidding, call-routing, SIP, and data-transfer workflows.
• Work with advertisers, publishers, and vendors to diagnose technical integration problems.
• Create clear documentation for common integration methods and troubleshooting procedures.
• Develop alerts that identify integration failures before clients report them.

Call and Lead Operations

• Monitor call-routing, tracking, recording, attribution, and disposition systems.
• Investigate calls that fail to route, connect, record, track, or report correctly.
• Support number provisioning, routing rules, caps, schedules, geographic restrictions, buyer availability, and failover logic.
• Validate that leads, calls, and transactions are properly attributed to the correct advertiser, publisher, campaign, and payout.
• Assist with discrepancies involving call duration, billable events, conversions, payouts, and reporting.
• Help protect revenue by identifying technical leakage and delivery failures.

Data and Reporting Support

• Monitor data pipelines, scheduled jobs, reporting processes, and database performance.
• Investigate discrepancies between platform reporting, billing records, payment records, and third-party systems.
• Write and maintain database queries for troubleshooting, validation, and operational reporting.
• Assist with data corrections using controlled and documented procedures.
• Support dashboards and operational alerts for revenue, margin, consumption, conversion, and platform activity.
• Maintain appropriate controls around production data access and modification.

Security and Access Management

• Support role-based access controls, multifactor authentication, audit logging, encryption, and secure system configuration.
• Provision and remove employee, contractor, client, and vendor access.
• Monitor suspicious activity and report potential security incidents.
• Assist with vulnerability remediation, security reviews, access audits, and incident-response procedures.
• Protect consumer, advertiser, publisher, employee, and company information.
• Follow company policies for credentials, production access, sensitive data, and change management.

Automation and Process Improvement

• Automate repetitive operational tasks using scripts, workflows, APIs, and infrastructure tools.
• Reduce manual work associated with monitoring, deployments, reporting, reconciliation, onboarding, and support.
• Build internal tools that improve visibility and response times.
• Identify operational bottlenecks that affect revenue, margin, client satisfaction, or employee productivity.
• Maintain clear runbooks and standard operating procedures for recurring technical tasks.

Technical Support and Documentation

• Serve as an escalation point for complex platform and integration issues.
• Translate technical problems into clear explanations for nontechnical teams.
• Create and maintain architecture diagrams, system inventories, runbooks, troubleshooting guides, and incident reports.
• Track incidents and technical requests through completion.
• Document known issues, temporary workarounds, permanent resolutions, and system dependencies.
• Participate in an on-call rotation for urgent production incidents.

First 90-Day Priorities

The successful candidate will be expected to:

• Learn EDM’s platforms, infrastructure, integrations, call-routing systems, reporting processes, and revenue workflows.
• Document critical systems, dependencies, credentials ownership, vendor contacts, and escalation procedures.
• Review existing monitoring, alerting, backups, access controls, and deployment procedures.
• Establish baseline metrics for uptime, incident volume, response time, recovery time, deployment success, and integration failures.
• Resolve high-priority recurring production and integration issues.
• Improve alerting for call-routing failures, API errors, delayed data, failed jobs, and reporting discrepancies.
• Create runbooks for the company’s most common and highest-risk technical incidents.
• Identify at least three meaningful automation or cost-saving opportunities.
• Participate in production support and demonstrate ownership of incidents through resolution.

Performance Expectations

Success will be measured by:

• Platform uptime and reliability
• Mean time to acknowledge and resolve incidents
• Reduction in recurring production problems
• Deployment success and rollback rates
• API, postback, webhook, and call-routing reliability
• Reporting and data accuracy
• Backup and recovery readiness
• Quality of technical documentation
• Security and access-control compliance
• Reduction in manual operational work
• Infrastructure costs relative to platform volume
• Responsiveness to internal teams, clients, and technical partners

Required Qualifications

• Three or more years of experience in operations engineering, DevOps, site reliability engineering, cloud infrastructure, systems administration, or production support.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience supporting Linux-based production environments.
• Working knowledge of networking, DNS, SSL certificates, firewalls, load balancing, and application security.
• Experience with relational databases and SQL.
• Experience troubleshooting REST APIs, webhooks, authentication, and third-party integrations.
• Familiarity with monitoring, logging, alerting, and incident-management tools.
• Experience with scripting languages such as Python, Bash, JavaScript, or PowerShell.
• Understanding of source control, deployment pipelines, and release management.
• Strong troubleshooting, documentation, and communication skills.
• Ability to prioritize incidents based on business and revenue impact.
• Availability to participate in an on-call rotation.

Preferred Qualifications

• Experience in ad-tech, mar-tech, affiliate marketing, lead generation, pay-per-call, telecommunications, or SaaS.
• Familiarity with SIP, VoIP, dialers, call-tracking platforms, routing systems, and phone-number provisioning.
• Experience with containers, infrastructure as code, and automated deployment tools.
• Experience with Docker, Kubernetes, Terraform, GitHub Actions, or similar technologies.
• Familiarity with payment processing, usage-based billing, reconciliation, and commission systems.
• Experience working with real-time bidding, ping-post, lead distribution, or high-volume transactional systems.
• Understanding of TCPA-related controls, consent records, DNC suppression, data privacy, or regulated marketing environments.
• Experience with security audits, disaster-recovery testing, and compliance documentation.

Ideal Candidate

The ideal candidate:

• Takes ownership instead of waiting for someone else to fix the problem.
• Remains calm and methodical during high-impact incidents.
• Understands the difference between applying a temporary fix and eliminating a root cause.
• Communicates technical problems clearly and directly.
• Recognizes that production reliability is a business and revenue responsibility.
• Automates repetitive work whenever practical.
• Documents systems so the company is not dependent on one person’s memory.
• Protects security and stability without creating unnecessary bureaucracy.
• Is comfortable working in a fast-moving entrepreneurial environment.
• Can manage competing priorities while maintaining attention to detail.

Role Description This is a full-time remote role for a Salesforce Business Analyst. The Salesforce Business Analyst will work closely with stakeholders to gather, analyze, and document business requirements and translate them into effective Salesforce solutions. Day-to-day responsibilities include mapping and optimizing business processes, configuring Salesforce features with administrators, and supporting integrations with other enterprise systems. The role involves creating user stories, functional specifications, and documentation, as well as coordinating testing, training, and user adoption activities. The Salesforce Business Analyst will collaborate with cross-functional teams to ensure solutions align with business goals and deliver measurable outcomes.

Qualifications

• Strong Salesforce.com Administration skills, including configuration, user management, and security settings.
• Demonstrated Business Analysis experience with business requirements gathering, documentation, and stakeholder communication.
• Solid Analytical Skills for evaluating processes, data, and system performance to recommend improvements.
• Experience with Business Process mapping, optimization, and translating workflows into Salesforce solutions.
• Familiarity with Salesforce best practices, standard objects, and automation tools (e.g., Flow, Validation Rules, Reports and Dashboards).
• Ability to work effectively in a remote, collaborative environment with cross-functional and global teams.
• Strong written and verbal communication skills and the ability to present complex ideas in a clear, structured manner.
• Salesforce certifications (e.g., Admin, Business Analyst) are an advantage.

Greetings from Skoegle IoT Innovations Pvt Ltd 

Job Summary

We are looking for an experienced Embedded Firmware Engineer with expertise in embedded systems, firmware architecture, RTOS, and embedded software development for IoT, wearable, automotive, industrial, and medical-grade products.

Key Responsibilities

• Design, develop, debug, and maintain firmware in C, C++, and Embedded C.

• Develop firmware for ESP32, nRF52832/52840, ATmega328P, and Raspberry Pi platforms.

• Integrate sensors using I2C, SPI, UART, ADC, GPIO, PWM, CAN, and USB.

• Develop RTOS and bare-metal firmware.

• Implement BLE, GSM/4G, GPS/GNSS, LoRa, Wi-Fi, NFC/RFID communication.

• Design bootloaders, OTA updates, and secure firmware upgrades.

• Optimize power consumption, sleep modes, memory allocation, and performance.

• Develop sensor drivers, calibration routines, and medical-grade firmware.

• Program bare ICs and support PCB bring-up, pin selection, and hardware validation.

• Support HTTP/HTTPS GET/POST/PUT APIs and embedded networking.

Required Skills

• Embedded Systems and Embedded Software Development

• C, C++, Embedded C

• RTOS, Bare-Metal Programming

• Operating Systems fundamentals

• I2C, SPI, UART, Digital & Analog Signals

• Sensor Integration

• Arduino IDE, VS Code, SEGGER Embedded Studio, J-Link

• ESP32 Series, nRF52832/52840, ATmega328P, Raspberry Pi

• BLE (UUIDs), GSM (band configuration), GPS, LoRa

• Python, HTML, HTTP/HTTPS

• Bootloader Development, OTA, Power Optimization

• Memory Allocation, Sleep Modes, Sensor Calibration

• Machine Learning on Embedded Systems (preferred)

🔹 Role Overview

We are looking for an experienced Technical Project Manager to lead end-to-end ERP implementation, transformation, migration, integration, upgrade and go-live projects for international customers.

🔹 Key Responsibilities

• Manage ERP projects from discovery and planning through configuration, development, UAT, go-live and hypercare

• Manage scope, timelines, budgets, resources, risks, dependencies and escalations

• Coordinate functional consultants, developers, QA, DevOps and customer stakeholders

• Lead customer meetings, status reviews, UAT and go-live readiness

• Drive fit-gap analysis, integrations, APIs and data migration activities

• Ensure project governance, documentation, RAID logs and delivery reporting

• Manage SIT/UAT, cutover planning, production readiness and post-go-live support

🔹 Must-Have Requirements

✅ 7+ years of IT/ERP project delivery experience

✅ Multiple end-to-end ERP implementation projects

✅ At least one production go-live experience

✅ Strong experience in ERP implementation, migration, integration, UAT and transformation

✅ Customer-facing and cross-functional team management experience

✅ Experience with ERP platforms such as SAP, Microsoft Dynamics, NetSuite, Oracle ERP, Odoo, ERPNext or similar

✅ Strong stakeholder management and communication skills

✅ Excellent English communication skills

⭐ Odoo ERP experience is an added advantage.

🔹 Nice to Have

• International customer experience

• US B1/B2 visa / international travel experience

• PMP / PRINCE2 / Scrum Master / SAFe / ITIL / ERP certifications

• Experience in manufacturing, retail, distribution, supply chain, accounting or CRM

Job Description – DevOps + Python

Job Title: DevOps + Python Developer

Experience: 4–10 Years

Location: Bangalore / Hyderabad

Notice Period: Immediate to 15 Days

Mandatory Skills

• Python
• Kubernetes
• Containerization
• DevOps
• Cloud Exposure – Any Cloud platform (AWS / Azure / GCP)

Job Description

We are looking for experienced DevOps + Python professionals with strong hands-on experience in Python development and DevOps practices.

The candidate should have practical experience with Kubernetes and containerization, along with exposure to cloud platforms and DevOps processes.

Key Responsibilities

• Develop and maintain applications/scripts using Python.
• Work with Kubernetes and containerized environments.
• Support DevOps processes and automation.
• Work with cloud platforms and cloud-based environments.
• Collaborate with development and infrastructure teams.
• Troubleshoot and resolve deployment and environment-related issues.

Position: Visual Builder

Experience: 4–8 Years

Job Type: Contract

Job Description

We are looking for a skilled Visual Builder Developer responsible for designing, developing, and deploying modern UI/UX components for Oracle Fusion Cloud ERP using Oracle Visual Builder Studio (VBS).

The candidate will work on the complete lifecycle of Redwood extensions, including low-code Express Mode configurations and complex Advanced Mode customizations.

Key Responsibilities

• Develop and extend Oracle-delivered Redwood pages using Oracle Visual Builder Studio (VBS).
• Work on both Express Mode (App Extensions) and Advanced Mode customizations.
• Utilize Oracle JET, Crayons Design System, Business Objects, and Service Connections.
• Configure VBS Projects, Environments, Workspaces, and deployment pipelines.
• Integrate REST APIs and Oracle Integration Cloud (OIC) services with VBS components.
• Manage user roles, access controls, and sandbox management within Oracle Cloud ERP.
• Use Git-based version control and CI/CD practices for deployments.

We are looking for an experienced Product & IT Manager who can combine product management, project management, and hands-on understanding of software development technologies. The role will be responsible for managing the product portfolio, driving technology initiatives, coordinating development projects, and ensuring effective delivery across product, IT, and development teams. 

Key Responsibilities 

• Plan, manage, and track software/product development projects, including timelines, milestones, dependencies, risks, resources, and deliverables.

• Work closely with developers, QA, UI/UX, business teams, and stakeholders to ensure timely and quality delivery.

• Drive product delivery, client servicing, and asset retention through actionable and implementable strategies. 

• Monitor emerging technologies and recommend relevant solutions such as cloud, SaaS, analytics, AI/ML, and automation.

Project Management & Development Technology Experience – Mandatory

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field.

Key Competencies

• Product & Project Management • Software Development Lifecycle (SDLC)

• Technology & Solution Understanding

• Agile / Scrum Project Delivery

• Stakeholder & Client Management

• Team Leadership & People Management

• Strategic Planning & Roadmap Management

• Risk, Budget & Vendor Management •

Digital Transformation

• Problem Solving & Decision Making

Job Description

We are looking for an experienced Workday Core HCM Consultant with strong hands-on experience in Workday HCM configuration, business processes, reporting, and employee lifecycle management.

Key Responsibilities

• Configure and support Workday Core HCM modules and business processes.
• Manage Worker Data, Job & Position Management, Supervisory Organizations, Locations, and Cost Centers.
• Configure end-to-end business processes including Hire, Onboarding, Job Change, Transfer, Promotion, and Termination.
• Work on Compensation, Benefits, Time & Absence, and Recruiting modules.
• Develop and maintain Custom Reports, Advanced/Matrix Reports, Calculated Fields, Dashboards, and Workday Analytics.
• Configure and maintain Workday security, security groups, roles, and domain permissions.
• Gather business requirements and translate them into Workday configuration solutions.
• Troubleshoot production issues and provide ongoing Workday support and enhancements.
• Collaborate with HR, functional, technical, and integration teams.
• Prepare functional/technical documentation and support testing and deployment activities.

Mandatory Skills

• Strong hands-on experience in Workday Core HCM.
• Workday HCM configuration and business process experience.
• Worker Data, Job/Position Management, Organizations, and Employee Lifecycle.
• Workday Reporting and Calculated Fields.
• Experience with Workday Security and role-based access.
• Good understanding of HR processes and Workday HCM architecture.

Good to Have

• Workday EIB, Studio, Core Connectors or other integration experience.
• Experience with Benefits, Recruiting, Compensation, Time & Absence.
• Workday certification is preferred.
• Experience in production support and enhancement projects.

Experience

5+ years of relevant Workday experience

About Company

We are building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labour shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings.

About the Role

We are looking for a versatile, hands-on software engineer to join our growing team. You will work across embedded Linux systems, networking stacks, robotic middleware, and cloud-connected services. This role demands strong fundamentals, intellectual curiosity, and the ability to learn quickly — not just familiarity with buzzwords.

On-site, Bengaluru

Responsibilities

• Design and implement robot boot-up sequences and service orchestration to ensure reliable, deterministic system bring-up.
• Configure and manage Linux networking — TCP/IP stack, HTTP, iptables, ARP, DHCP, DNS — for robot-to-cloud and inter-robot communication.
• Own CI/CD pipelines using ArgoCD, GitHub Actions, and containerized workflows to ship software to robots.
• Manage Docker-based deployment and runtime environments on robot and cloud infrastructure.
• Write and maintain system administration tooling and bash scripts for fleet management and diagnostics.
• Collaborate closely with robotics, perception, and application teams to integrate platform capabilities.
• Establish and enforce best practices around Git workflows, branching strategies, and code review.
• Lead and mentor a small platform engineering team — set technical direction, conduct code reviews, and drive execution.

Requirements

All candidates must demonstrate solid, hands-on competency in every item listed below.

• Linux systems programming in C
• File I/O — read, write, seek, memory-mapped files
• Multi-threading — pthreads, mutexes, condition variables, thread safety
• Socket communication — TCP/UDP sockets, select/poll/epoll
• Basic data structures & algorithms — stack, heap, queue, linked list
• General comprehension ability — reading technical manuals, datasheets, and RFCs
• Python scripting
• Bash scripting
• Git — CLI usage, branching, merging, rebasing, conflict resolution
• Standard UML diagrams — flowchart, sequence diagram, deployment diagram
• Windowless text editor — vim, nano, or equivalent

Strong Advantage

• C++ programming — C++17, OOP, templates, STL
• Common network protocols — DHCP, ARP, TCP, UDP, DNS
• Network configuration — routers, switches, VLANs, subnetting
• Server-client application architecture
• P2P vs. centralised communication — DDS vs. MQTT
• Database management — SQL vs. NoSQL, schema design
• Network security — checksums (CRC, MD5, SHA), public-key encryption, digital signatures
• ROS2 framework — pub/sub, services, actions, lifecycle nodes, DDS transport
• CMake build system — targets, find_package, CTest integration
• Docker — Dockerfiles, docker-compose, remote image registries

Must-haves (non-negotiable)

• Strong Linux systems programming in C — multi-threading (pthreads), socket communication (TCP/UDP, epoll), and file I/O
• Hands-on experience with CI/CD pipelines (ArgoCD, GitHub Actions) and Docker-based deployments
• Networking expertise — TCP/IP stack, DHCP, DNS, iptables, inter-device communication
• Proficiency in Python and Bash scripting for fleet management and diagnostics
• ROS2 experience (pub/sub, DDS, lifecycle nodes) is a strong advantage

Bachelor’s degree in Engineering, Computer Science, or a related discipline

• 8+ years of experience in project or programme management

• 3+ years of experience delivering AI, Machine Learning, Data, or Analytics programmes

• PMP, Agile, Scrum, or equivalent certification preferred

Read This Before Anything Else

We have 6 developers who can ship. What we don't have is someone who turns that into a real engineering function: real architecture, real leverage, real AI-driven advantage. If that gap sounds like an opportunity rather than a headache, you're in the right place. If it sounds like a lot of undefined work with no playbook handed to you, this one probably isn't for you. That's completely okay. There are plenty of great roles that fit differently.

About CraftMyPlate

CraftMyPlate is Hyderabad's go-to platform for food experiences for micro-events: house parties, birthdays, office celebrations, festive gatherings, and more. We're building the operating system for how India discovers, customises, and orders food for smaller events. We're backed by established founders and investors, and we're funded and growing fast. The next phase of that growth runs through engineering.

Where We Stand

Some numbers, because they matter more than adjectives. Order volume has grown 50x in two years, and we're compounding at roughly 3x year over year, without giving up equity to fund it. That means the business runs on its own economics. The growth is real demand, not runway bought with dilution, and every efficient architectural decision this role makes directly protects that.

Most people size up an opportunity by asking what's going to change in ten years. The more useful question, and the one this company is built around, is what won't change. People will keep gathering. They'll keep celebrating, hosting, and marking festivals, in 10 years and in 20. That permanence is the bet. You're not building infrastructure for a trend cycle. You're building for a category that outlasts the current AI wave, the next funding round, and probably us too.

The Technical Reality

Here's an honest read of the engineering problem, not a sanitized version of it.

Event-driven commerce doesn't scale like typical e-commerce. Demand isn't smooth, it's spiky: weekends, festival calendars, and event dates create real load concentration, and each order is tied to a hard deadline that can't slip the way a shipped package can. That has direct architectural consequences: systems need to handle bursty, unpredictable traffic without paying for idle capacity the rest of the time, which is exactly why we're serverless-first on AWS rather than running a fixed fleet sized for peak.

Underneath that, every order touches multiple systems that have to stay consistent: kitchen and vendor fulfillment status, inventory across partners, payment gateway settlement, and refunds, often in real time and often across more than one vendor for a single event. Getting that consistency right across SQL and NoSQL stores, without it becoming a source of support tickets and manual reconciliation, is a real architecture problem, not a CRUD problem.

The AI-agent layer is the next lever, and it's a business lever as much as a technical one. Every workflow we can hand to a well-orchestrated agent instead of a new hire is a workflow that scales without adding headcount, which is exactly how a company grows 3x a year without diluting equity to fund the team behind it. That's why agent orchestration across multiple LLMs, using LangGraph, sits in the "go deep" tier of this role rather than being a nice-to-have.

You'll likely find some of this framing right and some of it worth challenging once you're actually in the codebase. That's expected, and honestly preferred over someone who just nods along.

Why This Role Exists

You'll be the most senior technical person in the company, reporting directly to the founder. Not a manager brought in to run standups. An owner. You set the architecture, you write code yourself, and you make the team materially better. You also own where AI and automation take this company next, starting with our first in-house AI agent product (details shared in the interview), and expanding from there into how the company runs, department by department: HR, finance, marketing, design, development, all sitting on an engineering layer that you design.

If you've outgrown a role where you plan but don't build, or where good ideas die in a committee, this is built to be the opposite of that.

What You'll Own

• Architecture, end to end. Scalable, cost-efficient systems from day one, not "fix it later" engineering. You own the decisions and their long-term consequences.
• Hands-on building. You are still writing code and shipping. This isn't a seat where you review other people's work all day. You lead by building.
• The engineering team. Directly manage, mentor, and level up our 6 developers. Build the technical bar, the review culture, and the calibration that lets the team ship independently.
• The AI-agent roadmap. Own the architecture behind our first AI agent product, then the broader strategy for AI agents and automation across every function in the company, with engineering as the layer underneath all of it.
• Team scaling. Build the next layer of leads under you so execution quality scales without you being the bottleneck.
• Technical accountability. When something breaks, you fix it. You don't escalate and wait.

Our Stack, and the Depth We Expect

Not everything on this list needs the same level of mastery. Some of it you need to own at an architectural level. The rest you need to be strong enough to build yourself, direct the team on, or delegate to AI agents with confidence.

Go deep here. This is where the real architecture decisions live, and where the business impact is highest:

• AWS, serverless first. You should be genuinely well versed in AWS application development, not just "have used AWS." You should be able to design and guide serverless architecture (Lambda, API Gateway, DynamoDB, Step Functions, and similar) as our default way of building, because our demand curve is spiky by nature and fixed infrastructure is money left on the table.
• TypeScript, our primary language across backend and frontend.
• Agent orchestration across multiple LLMs, using LangGraph. This is core to our AI roadmap and our path to scaling operations without scaling headcount. You own how it's architected, not just how it's used.

Working proficiency. Build it yourself, direct the team, or hand it to an AI agent and know if the output is right.

This Is You If

• You've built and shipped real production systems yourself, not just reviewed other people's architecture from a distance.
• You go deep wherever the problem is, and you're comfortable owning the exact stack described above, not just "full-stack" in the abstract.
• You've made engineers around you measurably better, whether or not you've held the title for it yet.
• You're already using AI coding tools and agents seriously, like Claude, Cursor, or similar tools, as part of how you build, not as something you tried once. We'll likely explore this together in the interview.
• You have a bias toward leverage over hours. You'd rather automate or systematize a problem than grind through it. But when something's live and needs to be done right, you see it through completely, with no half-finished work.
• You want to build something for years, not land somewhere comfortable. We'll know the difference from how you talk about your last three years.

This Might Not Be the Right Fit If

• You'd prefer a stable, well-defined role with clear boundaries and someone else making the calls. That's a fair thing to want, just not what this is.
• You'd rather receive direction than bring us architecture and AI strategy yourself.
• You haven't yet gotten hands-on with AI coding tools in your daily work.
• You're drawn more to the title than the work behind it.

If none of that sounds like you, we'd love to hear from you.

Requirements

• 5 to 7 years of experience in software engineering, with real ownership of architecture-level decisions, not just feature delivery.
• Prior experience leading or mentoring engineers, formally or informally.
• Tier-1 or Tier-1+ engineering college strongly preferred (IIT, BITS, top NIT tier, or equivalent). We'll consider other institutions only with clearly commendable, verifiable work: real systems you can walk us through in depth, strong open-source contributions, or a track record that speaks for itself. Pedigree is a proxy for speed, not a checkbox. We test for the underlying ability regardless.
• Comfortable in an early-stage environment: undefined problems, few processes, and the expectation that you help define both.

Compensation

Competitive, with equity. We're formalizing a structured ESOP program alongside this hire. Specific numbers are discussed directly in later interview rounds.

If reading this got you a little excited about what you'd build here, we'd genuinely love to talk. If it didn't quite land, no hard feelings. We just want the right fit for both sides.

Job Title : Engagement Manager / Delivery Manager

Experience : 7 to 12 Years

Location : Hyderabad

Work Mode : Hybrid – 3 Days Office

Open Positions : 2

Shift : EST – 09:30 PM to 06:30 AM IST

Joining : Immediate Joiners Preferred

Job Summary :

We are looking for an experienced Engagement Manager / Delivery Manager to own end-to-end delivery of client engagements and serve as the primary point of contact for clients and stakeholders. The role requires strong experience in offshore delivery, client management, Agile project management, cross-functional team leadership, and stakeholder management.

The ideal candidate should have a strong consulting mindset, excellent communication skills, and the ability to manage multiple priorities while ensuring timely, high-quality delivery.

Key Responsibilities :

• Own end-to-end delivery of client engagements from planning through successful execution and closure.
• Define and manage project scope, timelines, milestones, resources, quality, risks, and dependencies.
• Act as the primary client-facing point of contact, ensuring effective communication and relationship management.
• Lead and coordinate cross-functional offshore teams working across different time zones.
• Drive Agile/Scrum ceremonies, including sprint planning, daily stand-ups, retrospectives, reviews, and release planning.
• Track project progress, delivery metrics, milestones, and provide regular status reporting to clients and leadership.
• Manage stakeholder expectations, escalations, scope changes, and change requests.
• Identify client/business needs and proactively recommend solutions, improvements, and delivery strategies.
• Identify and mitigate project risks, issues, dependencies, and delivery challenges.
• Drive continuous process improvement and delivery excellence across engagements.
• Collaborate with business, product, technology, QA, and other functional teams to ensure successful project outcomes.
• Ensure adherence to delivery standards, governance processes, and quality expectations.

Mandatory Skills :

• 7+ years of experience in Engagement Management / Delivery Management / Program Management
• Strong offshore delivery & client management
• Excellent stakeholder management & communication
• Cross-functional team leadership across time zones
• Strong Agile / Scrum, project & risk management
• Consulting / problem-solving mindset
• Willingness to work EST hours (9:30 PM–6:30 AM IST).

Good to Have :

• Experience in the Insurance domain.
• Experience delivering No-Code / Low-Code projects.
• PMP, CSM, SAFe, or other relevant project / agile certifications.
• Experience managing enterprise clients and large-scale transformation / digital initiatives.

Candidate Profile :

• Strong client-facing and relationship management skills.
• Proven ability to lead distributed/offshore teams.
• Excellent verbal and written communication skills.
• Strong ownership of delivery, timelines, quality, and outcomes.
• Ability to work effectively with senior stakeholders and handle escalations.
• Strong analytical, problem-solving, and decision-making abilities.
• Comfortable working in a night / EST shift environment.

Job Title: Lead Software Engineer – Python

Experience: 5+ yrs

Job Location: Infopark, Kochi

Why Join Us?

• Innovative Environment: Join a forward-thinking company that encourages creativity and modern engineering practices.
• Career Growth: Ample opportunities for professional development, technical leadership, and career advancement.
• Collaborative Culture: Work in a cross-functional, team-oriented environment where your contributions directly shape infrastructure modernization.
• Competitive Compensation: Attractive salary package with performance-based incentives.

Key Responsibilities

API & Backend Development

• Design, build, scale, and maintain high-performance REST APIs and backend microservices using Python and FastAPI.
• Implement asynchronous workflows, robust data models, and scalable API integrations to interface with network infrastructure.
• Oversee code quality, establish engineering best practices, and conduct comprehensive code reviews to ensure reliability and maintainability.

Network Automation & Workflow Orchestration

• Design and build scalable, resilient network automation workflows using tools such as Netmiko, Nornir, and Ansible.
• Modernize manual network operations by automating provisioning, configuration management, and compliance checks.
• Integrate network automation tooling into continuous delivery pipelines to streamline deployment workflows.

Network Operations & Troubleshooting

• Apply deep networking fundamentals to diagnose, troubleshoot, and resolve complex issues across enterprise and data center networks.
• Interface with and manage configurations for routing, switching, firewalls, and core network protocols (TCP/IP, BGP, OSPF).

DevOps, CI/CD & Testing

• Implement and manage robust CI/CD pipelines to modernize deployment lifecycles and operational workflows.
• Drive automated testing suites to validate both network orchestration scripts and API endpoints prior to production deployment.
• Containerize services using Docker to support seamless local and production environments.

Technical Leadership & Mentoring

• Mentor engineering team members on network programmability, API development, and automation standards.
• Translate operational and infrastructure requirements into production-ready software solutions.

Required Skills

• 5+ years of hands-on software development experience with Python.
• Strong expertise in building high-performance RESTful APIs using FastAPI and modern asynchronous programming.
• Extensive hands-on experience with network automation frameworks and libraries, specifically Netmiko, Nornir, and Ansible.
• Deep networking fundamentals: TCP/IP, routing & switching, BGP, OSPF, and firewalls.
• Proven track record of replacing manual infrastructure operations with automated workflows and CI/CD pipelines.
• Strong proficiency with Git version control, collaborative development, and automated testing frameworks.

Preferred Skills

• Hands-on experience containerizing services using Docker and orchestrating multi-service environments.
• Exposure to enterprise network management systems, ITSM tooling (e.g., ServiceNow), and change management lifecycles.
• Familiarity with event-driven architecture or message brokers (e.g., Kafka, RabbitMQ).
• Experience with dependency management (Poetry) and pre-commit code formatting hooks.

Soft Skills

• Strong analytical, problem-solving, and root-cause troubleshooting abilities.
• Excellent written and verbal communication skills with the ability to bridge software engineering and network operations.
• Proactive, collaborative mindset with strong ownership over technical deliverables.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Network Engineering, or a related field (or equivalent practical experience).

Key Responsibilities

Administer, monitor, and support database platforms including Couchbase, PostgreSQL, and Oracle.

Perform database performance tuning, optimization, and troubleshooting.

Write and optimize complex SQL queries, stored procedures, and scripts.

Ensure database availability, reliability, backup, recovery, and security compliance.

Support production incidents, root cause analysis, and ongoing operational improvements.

Collaborate with application, infrastructure, and support teams to resolve database-related issues.

Required Skills

5 to 10 years of hands-on experience in Database Administration.

Strong experience with Couchbase, PostgreSQL, and/or Oracle databases.

Expertise in performance tuning, query optimization, indexing, and SQL development (Complex Queries, Stored Procedures, Scripts)

Experience with database monitoring, backup, recovery, and maintenance activities.

Production Support, Troubleshooting & RCA

Strong analytical and troubleshooting skills.

Nice to Have

Experience with cloud platforms such as AWS, Azure, or GCP.

Exposure to database automation and scripting

The Role

We’re looking for a Senior Applied AI & Data Engineer to become our first dedicated AI and data engineer.

You’ll build conversational AI experiences across web, mobile, and in-store channels while developing the data foundation behind them. You’ll make key technical decisions and own your work through to production.

What You’ll Do

• Build AI assistants using tool calling to work with real product, search, and order systems

• Design guardrails and evaluation sets to ensure AI responses are accurate and safe

• Build real-time and voice-enabled AI experiences

• Improve product data quality through AI-assisted enrichment and review workflows

• Build data pipelines, analytics, and personalisation systems

• Work closely with web and mobile developers and help guide technical implementation

What You’ll Need

• 6+ years of experience building and running production backend systems

• Strong Python skills, plus experience with JavaScript/TypeScript backends

• Experience shipping at least one LLM-powered feature to real users

• Experience with search and relevance

• Experience building data pipelines and analytics stores

• Comfortable deploying and monitoring services on a major cloud platform

• Strong communication skills and the ability to work independently

Nice to Have

• Experience with speech or voice AI

• E-commerce or retail technology experience

• Experience building multilingual products

Job Title: Vice President – Technology (VP Tech)

Company: Timble Technologies Pvt. Ltd

Location: Arjan Garh, New Delhi (On-site)

Experience: 15+ Years

About Timble AI

Timble Glance is a high-growth AI-powered RegTech and enterprise B2B SaaS platform delivering mission-critical solutions to the BFSI sector. Our infrastructure powers 30+ enterprise-grade APIs handling digital identity management, real-time fraud mitigation, automated compliance, and document intelligence. We engineer high-concurrency, resilient systems designed for extreme throughput, sub-second latency, and bank-grade data security.

Role Overview

As the Vice President – Technology, you will be the chief technical strategist and engineering executive driving Timble AI’s technical vision, platform modernization, and AI innovation. You will own the end-to-end architectural roadmap, lead cross-functional engineering pods, and scale high-volume distributed systems that safeguard critical financial data. This role requires an executive who combines boardroom strategic gravitas with deep hands-on engineering credibility, capable of bridging rapid B2B SaaS product iteration with rigorous BFSI regulatory standards.

Key Responsibilities

·       Technology Vision & Architectural Strategy: Define and execute a multi-year engineering roadmap across core product suites (Identity Verification, Fraud Detection Engines, and Document Intelligence), balancing cutting-edge feature delivery with enterprise-grade stability.

·       Large-Scale Platform Engineering: Oversee the architecture and performance of 30+ high-scale APIs, ensuring 99.9% uptime, sub-second latency, fault-tolerant concurrency, and strict "efficiency by design" across multi-tenant cloud environments.

·       AI/ML & Intelligent Engineering: Drive the productionization of proprietary AI/ML and Generative AI pipelines—moving capabilities from experimental R&D into secure, low-latency, scalable BFSI workflows while advancing patent-pending intellectual property (IP).

·       Cloud Architecture & FinOps: Direct cloud economics and infrastructure investments across AWS and GCP, establishing containerization, microservice modularity, automated CI/CD pipelines, and robust disaster recovery frameworks.

·       Information Security & Regulatory Compliance: Enforce bank-grade security protocols, data privacy governance, and industry-mandated regulatory compliance (ISO 27001, SOC2, RBI/BFSI data localization guidelines) to protect sensitive enterprise data.

·       People & Engineering Culture Leadership: Attract, mentor, and scale a world-class engineering organization (from SDE-1 to Principal Architects and Engineering Managers); institute rigorous code reviews, automated testing benchmarks, and clear career ladders.

·       Executive & Stakeholder Alignment: Partner directly with the Founder, C-suite, and Product Leadership to translate complex technological initiatives into clear business outcomes, enterprise client trust, and scalable revenue growth.

Required Qualifications & Experience

·       Experience: 15+ years of progressive software engineering and technology leadership experience, with significant tenure leading engineering organizations in Fintech, RegTech, or high-scale B2B SaaS.

·       Education: B.Tech / M.Tech in Computer Science or related engineering field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Core Technical Mastery: Deep hands-on expertise in no, distributed system design, microservices, asynchronous architectures, API gateways, and relational/NoSQL database engines (PostgreSQL, Redis, MongoDB).

·       Cloud & Infrastructure Rigor: Proven track record architecting enterprise systems on AWS/GCP, utilizing Docker, Kubernetes, Kafka/RabbitMQ, and modern APM/observability stacks.

·       AI Production Track Record: Demonstrated experience successfully deploying, monitoring, and scaling machine learning, computer vision, or NLP/LLM models in latency-critical production environments.

·       Governance & Delivery: Strong command of modern engineering methodologies (Agile, DevSecOps, TOGAF/ITIL principles) with a proven history of managing high-throughput, zero-downtime platforms.

Leadership Attributes

·       Technically Credible Executive: Capable of engaging in deep-dive architectural RFCs with engineering teams while articulating business impact and ROI to board members and enterprise BFSI clients.

·       Builder Mindset: Thrives in high-ownership, agile environments, successfully balancing rapid product velocity with uncompromised software quality and data integrity.

·       Force Multiplier: Focuses on institutionalizing robust engineering practices and developing leadership pipelines rather than relying on individual heroics.

·       https://timbleglance.com          

·       You can visit our website .

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

The Opportunity 

We are building the next generation of engineers at AvancerPI. You will work on real enterprise products and automation rather than isolated training assignments. Depending on your strengths, you may contribute to frontend, backend, APIs, automation, integrations, cloud-native engineering or AI-assisted capabilities. 

What You’ll Work On 

• Modern web applications and customer-facing product experiences. 
• Backend services and REST APIs. 
• Python-based automation and platform integrations. 
• Databases, data models and application state. 
• Terraform and Ansible based infrastructure automation. 
• Containers and Kubernetes-based applications. 
• Integration with enterprise infrastructure and cloud APIs. 
• AI/LLM, RAG and agentic workflows where they solve a real product or operational problem. 
• Testing, debugging, Git workflows and CI/CD. 
• Product features used by enterprise customers and internal engineering teams. 

What We’re Looking For 

• BE/BTech/MCA or equivalent technical education. 
• Strong programming fundamentals and problem-solving ability. 
• Working knowledge of at least one language such as Python, JavaScript/TypeScript, Java or similar. 
• Basic understanding of APIs, databases, Git and Linux. 
• Curiosity about cloud, infrastructure, automation, Kubernetes and AI. 
• Ability to learn unfamiliar technologies independently and ask good technical questions. 
• Evidence that you build things: academic projects, GitHub work, internships, hackathons or personal projects. 

What Matters More Than a Long Skills List 

Fundamentals + curiosity + learning speed + ownership + ability to turn an idea into working software. 

What You Can Expect to Learn 

• How enterprise products are designed, built, tested and released. 
• How software interacts with infrastructure, cloud and Kubernetes platforms. 
• How to write maintainable code and participate in design/code reviews. 
• How customer problems become product requirements and engineering decisions. 

For more information about the company, you can visit our website: https://avancerpi.com/about/

We are looking for a senior, hands-on DevOps and Backend Integration Engineer to lead the production deployment and integration of an existing application ecosystem.

The platform currently includes a Flutter mobile application, a Laravel backend and admin panel, Node.js/AdonisJS APIs, a Python recommendation service, Redis, MySQL, Nginx, and AWS S3.

This is not a greenfield development role. The primary objective is to audit the existing system, establish a reliable production infrastructure, integrate all services, migrate traffic safely, and complete the production launch.

Responsibilities

• Audit the existing Hostinger environment, source repositories, application dependencies, database, Redis configuration, and deployment process.

• Design a secure and maintainable production architecture for Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, AWS S3, and the Flutter application.

• Provision and configure Linux production servers, runtimes, SSH access, environment variables, permissions, SSL, and basic server security.

• Deploy and configure the Laravel application, admin panel, APIs, scheduled tasks, queues, and database connectivity.

• Deploy the Node.js/AdonisJS services with a reliable build, startup, logging, and process-management setup.

• Build a Git-based CI/CD pipeline for staging and production, including secrets management, deployment validation, and basic rollback handling.

• Configure Nginx as a reverse proxy and route traffic between Laravel and Node.js services using API versions and endpoint rules.

• Install and integrate Redis for agreed caching, queue, or session-management requirements.

• Configure AWS S3, IAM permissions, secure file access, and photo-upload integration to replace local server storage.

• Integrate the existing Python recommendation service with the Node.js backend, including timeout, retry, error-handling, and service-health scenarios.

• Support controlled migration of API traffic from Laravel to Node.js while preserving existing API contracts.

• Verify Flutter API compatibility, production environment configuration, authentication flows, media uploads, and backend-related integration issues.

• Conduct end-to-end, regression, and smoke testing across Flutter, Nginx, Laravel, Node.js, Redis, Python, MySQL, and AWS S3.

• Perform production cutover, validation, troubleshooting, and technical handover.

• Deliver clear architecture, deployment, routing, environment, rollback, and operational documentation.

Required Experience

• 5+ years of professional backend, DevOps, infrastructure, or platform-engineering experience.

• Strong hands-on Linux server administration and production deployment experience.

• Proven experience deploying and operating Laravel/PHP and Node.js applications.

• Strong knowledge of Nginx reverse proxy configuration, SSL, upstream services, and API routing.

• Experience creating CI/CD pipelines using GitHub Actions, GitLab CI, Bitbucket Pipelines, or a comparable platform.

• Practical experience with AWS S3, IAM permissions, secure media uploads, and cloud-storage integration.

• Experience with Redis, MySQL, background workers, queues, scheduled jobs, and application caching.

• Experience integrating Python services or machine-learning/recommendation APIs with Node.js applications.

• Good understanding of REST APIs, API versioning, authentication, secrets management, logging, monitoring, backups, and rollback procedures.

• Ability to independently investigate an existing codebase and resolve production integration problems.

• Strong written English and the ability to produce clear technical documentation.

Nice to Have

• Experience with AdonisJS.

• Experience supporting Flutter applications and mobile backend integrations.

• Experience migrating applications from shared hosting or Hostinger to a production cloud server.

• Experience with Google Maps Platform or location-based application services.

• Docker experience is helpful, although Kubernetes is not required.

Expected Deliverables

• Documented production architecture.

• Fully configured production infrastructure.

• Working Laravel, Node.js/AdonisJS, Python, Redis, MySQL, Nginx, and AWS S3 integrations.

• Functional staging and production CI/CD workflows.

• Tested Laravel and Node.js coexistence with controlled API routing.

• Successful end-to-end production deployment.

• Rollback, deployment, configuration, and operational documentation.

Engagement Details

• Contract duration: approximately 4–5 weeks.

• Work arrangement: remote.

• Availability: candidates should be able to begin shortly and provide regular written progress updates.

• The current Node.js APIs and recommendation algorithm already exist. Major new product features, algorithm redesign, extensive Flutter feature development, and database redesign are outside the initial scope.

How to Apply

Please include:

1. Examples of Laravel and Node.js systems you have deployed to production.

2. Details of a CI/CD pipeline and Nginx routing setup you personally implemented.

3. Your experience integrating Redis, AWS S3, and Python services.

Sr. Technology Architect

Experience Range: 12–15+ years of IT experience, including 3–5+ years in leadership / people management roles.

Location: Chennai, Hyderabad, Bangalore

Qualification: B. Tech /B.E in computer science or equivalent

Minimum 10+ years of experience in Advanced Java

At least 2+ years of experience for the following areas:

• Lead and mentor full-stack development teams across multiple projects and workstreams.
• Define technical architecture, coding standards, and development best practices.
• Drive end-to-end delivery of enterprise applications using Agile methodologies.
• Oversee application design, development, testing, deployment, and production support.
• Ensure adherence to security, performance, quality, and compliance standards.
• Collaborate with clients, product owners, architects, and cross-functional teams.
• Manage resource planning, risk mitigation, technical reviews, and stakeholder communication.
• Promote DevOps, CI/CD, and automation practices to improve delivery efficiency

Must Haves-

• Strong experience in Java Full Stack Development.
• Expertise in Spring Boot and Microservices Architecture.
• Proficiency in Python, Shell Scripting, and backend development.
• Hands-on experience with SQL, Oracle, and PostgreSQL databases.
• Front-end expertise in React, Angular, HTML5, CSS3, Bootstrap, and JSP.
• Experience with Kafka or similar event-driven messaging platforms.
• Strong understanding of API Design, REST Services, and Swagger/OpenAPI.
• Experience implementing security frameworks including OAuth 2.0.
• Hands-on expertise with Jenkins, CI/CD pipelines, and DevOps practices.
• Experience with code quality and security tools such as SonarQube and Fortify.
• Proven people management, stakeholder management, and delivery leadership experience.
• Experience working in Agile/Scrum environments.

Good to Haves-

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes/OpenShift.
• Experience with performance tuning, observability, and application monitoring tools.
• Telecom, OSS/BSS, or enterprise digital transformation domain experience.
• SAFe Agile, PMP, Scrum Master, or cloud certifications.
• Exposure to AI-assisted development tools and engineering productivity platforms.

Years of Exp: 5 to 8 Years (Relevant 5+ Years)

Location: Hyderabad

Notice Period: Immediate to 20 days

Offshore: Data Governance Analyst

Position Summary

Execute day-to-day Data Governance activities for RTB initiatives under the direction of the Onshore Lead. The role will focus on producing accurate, complete, and traceable governance artifacts that support enterprise standards, control requirements, and audit readiness.

Key Responsibilities

Register and maintain data assets, reports, and data products in Collibra and Data Marketplace.

Capture and validate business, technical, and operational metadata.

Document end-to-end data lineage, including sources, targets, transformations, and data movement.

Support business glossary, data classification, ownership, stewardship, and authoritative source documentation.

Assist with data quality rule documentation, issue tracking, and remediation follow-up.

Coordinate with data owners, engineers, architects, and application teams to resolve documentation gaps.

Maintain governance evidence, decisions, status reports, and action items.

Track work through Jira and escalate blockers promptly to the Onshore Lead.

Support multiple RTB workstreams while meeting established quality and delivery expectations.

Required Qualifications

Experience in Data Governance, Data Management, metadata management, lineage, or data quality.

Working knowledge of Collibra or a comparable governance platform.

Understanding of data warehousing, data modeling, ETL/data pipelines, and system-to-system data flows.

SQL proficiency and familiarity with cloud data platforms, preferably Snowflake.

Strong analytical, documentation, communication, and organizational skills.

Ability to work effectively in an onshore-offshore delivery model.

Preferred Qualifications

Experience with Collibra or similar Data Governance Platforms, Jira, Confluence, Cloud Data Solutions, Excel

Financial-services or regulated-industry experience.

Familiarity with Agile delivery and audit or regulatory documentation.

ROLE SUMMARY:

In this role, you will be responsible for supporting people, technical processes, and engineering execution to ensure projects are delivered as per scope, budget, and timelines.

This role includes developing detailed project plans and comprehensive technical documentation, managing project Engineers and their availability, measuring engineering performance, tracking progress, and communicating project status to clients and internal stakeholders. You will work directly with Solutions Architects, Tech Leads, and Engineering teams to evaluate technical trade-offs, drive system design feasibility, and unblock engineering bottlenecks.

You will be a reliable and crucial team member who can anticipate client needs and translate complex technical requirements into actionable project milestones.

As a Technical Project Manager, you will be the point of contact for all stakeholders from initiation to closure and will be responsible for leading the technical delivery team to achieve project objectives. You will work towards balancing technical constraints, technical debt, and Engineer availability on the project. You will report project status to client and internal stakeholders, escalate technical and operational issues as needed, and perform risk management to identify and mitigate architectural and delivery risks while maintaining strong advocacy within your spheres of influence.

QUALIFICATIONS:

Technical Project Manager with 7+ years experience: Including minimum 3 years of IT (Mobile/Web) project management experience and a prior background as a Software Engineer, Tech Lead, or Developer.

Strong expertise in Agile methodologies (Scrum/Kanban).

Must have handled end-to-end SDLC projects as a Technical Project Manager or Scrum Master.

WHAT WILL YOU NEED TO BE SUCCESSFUL IN THIS ROLE?

Handle a portfolio of technical projects and clients in parallel and across geographies.

Develop an execution plan for projects, release schedules, CI/CD milestones, and team allocation.

Partner with technical leads to review high-level system designs, break down complex requirements into epics and user stories, and challenge technical estimates effectively.

Maintain strong relationships with product delivery, engineering leads, sales teams, clients, and account managers.

Expertise in project estimation, planning, tracking, scope control, technical risk and issues management, as well as engineering status reporting.

GOOD TO HAVE:

Hands-on or architecture exposure to.NET/Java/AWS/Azure or microservices architectures.

PMP / PMI-ACP / CSM (Certified ScrumMaster) certification.

Jira/Confluence project management tools expertise, Git workflows, and strong working knowledge of Microsoft Office.

COMPETENCIES:

Strong commitment to professional client service and engineering excellence.

Excellent communication (written, verbal, and presentation), persuasive, and negotiating skills—with the ability to bridge technical and non-technical stakeholders.

Encourage, motivate, and mentor team members on agile practices and technical ownership.

Proactive can-do and technical problem-solving approach to the job.

Regards

Designation: Project Manager — Execution

Experience: 2—3 Years

Qualification: B.E./B.Tech. in Civil Engineering

Job Location: Thane —

Execution Industry Preference: PEB / Construction / Civil / MEP / Infrastructure About LAHS Green India Pvt. Ltd.

About the Role

We are looking for a dynamic and hands-on Project Manager — Execution with 2—3 years of æxperience in PEB (pre-Engineered Buildings), Civil Construction, or MEP projects.

The candidate will be responsible for planning, coordinating, and executing multiple projects simultaneously while ensuring timely completion, quality standards, safety, and client satisfaction.

The ideal candidate should have experience in residential or commercial projects, strong team- management skills, and the ability to independently handle and coordinate up to 3 projects simultaneously.

Kev Responsibilities

• plan, manage, and execute multiple projects simultaneously, with the ability to handle up to 2-3 projects at a time. Coordinate and supervise project execution activities from project initiation through completion. Manage site teams, contractors, vendors, engineers, and other project personnel. Allocate manpower and resources effectively to ensure smooth project execution.

• Monitor project progress against planned timelines, milestones, and deliverables. Coordinate with the Design, Procurement, Purchase, Sales, and Other internal teams for timely project execution.

• Ensure proper coordination between civil, PEB, structural, electrical, mechanical, and MEP activities, wherever applicable. Identify project-related issues, delays, and risks and take corrective actions proactively. • Ensure projects are executed within the approved time, cost, quality, and safety parameters.

• Act as the primary point Of contact for clients during project execution and provide regular project updates.

• Understand client requirements and ensure timely resolution of project-related queries and concerns.

• Prepare and maintain project schedules, progress reports, site reports, and other project documentation.

• Track material requirements and coordinate with procurement and stores teams to ensure timely availability of materials at site. Monitor contractor performance and ensure adherence to project specifications and timelines. Conduct regular project review meetings and provide updates to management with .

• Ensure compliance with company procedures, quality standards, and site safety requirements. Support project handover and closure activities, including snag resolution and final client coordination.

Required Skills & Competencies

• Strong project planning and execution skills.
• Good knowledge Of PEB, Civil Construction and/or MEP execution. Experience in residential or commercial construction projects.
• Ability to manage and coordinate multiple projects simultaneously. Strong team-management and leadership abilities.
• Excellent client coordination and communication skills.
• Good understanding of project drawings, BOQs, specifications, and site execution.
• Strong problem-solving and decision-making skills.
• Ability to work under pressure and manage tight project timelines.
• Good coordination skills with internal teams, contractors, vendors, and clients.
• Proficiency in MS Office and project management/reporting tools.

Eligibilitv Criteria

• B.E./B.Tech. in Civil Engineering is mandatory. 2—3 years Of relevant experience in project execution.
• Experience in PEB / Civil / MEP / Construction projects preferred. Candidates with experience in residential or commercial projects will be preferred.
• Must have the ability to independently coordinate teams and manage multiple projects simultaneously.
• Strong willingness to travel to project sites as required.
• Kev Performance Indicators Timely completion of projects.
• Effective management Of multiple projects.
• Quality and safety compliance.
• Client satisfaction and effective communication.
• Efficient manpower and resource utilization.
• Timely resolution of project issues.
• Adherence to project budgets and execution schedules.

·     Minimum 18 years of overall experience in infrastructure/water supply project execution.

·     Candidate must have independently handled and successfully completed at least 2–3 Water Supply Scheme Projects as Project Manager.

·     Candidates having experience in Jharkhand Urban Water Supply / Urban Infrastructure Projects will be given priority.

·     Experience in JJM / Rural Water Supply / Urban Water Supply Schemes will be highly preferred.

·     Strong experience in managing end-to-end project execution, from planning to commissioning and handover.

·     Experience in handling large-scale pipeline networks, WTP, Intake Well, ESR/OHSR, CWR, pumping stations, distribution networks and allied water supply infrastructure.

·     Should have sound knowledge of BOQ, drawings, specifications, work planning, resource planning and project scheduling.

·     Experience in coordinating with Jal Jeevan Mission, PHED, JUIDCO, State Government departments, consultants and other statutory authorities.

·     Strong understanding of contract management, billing, variations, claims, EOT, DPR/BOQ and client requirements.

·     Should be capable of managing multiple project teams, contractors, subcontractors, engineers and site personnel.

·     Responsible for achieving project time, cost, quality and execution targets.

·     Should have strong leadership, decision-making, coordination and problem-solving skills.

·     Good knowledge of MS Project , MS Excel, AutoCAD and project documentation will be preferred.

What you'll do

Own a client end to end. Learn their business, find what to automate or rebuild, and lead the work that ships it.

Turn business problems into technical solutions sit in the call, understand the real problem, design the fix, and decide how it gets built.

Stay hands-on. You'll still write code, build integrations, and work with APIs every day.

Build on whatever the client runs Zoho, Salesforce, Azure, similar platforms, and custom apps where needed.

Run delivery: scope it, sequence it, ship it, support it. The timeline is yours.

Review code and designs. Mentor the developers on your projects and unblock them fast.

Be the escalation point when something breaks or an integration misbehaves.

Own client communication on the technical side status, tradeoffs, bad news, early.

Keep the bar high: clear docs, clear updates, clear commit history.

What we're looking for

4–7 years shipping software, with real depth in REST APIs and system integrations.

Experience leading projects or small teams — the person others check with before they build.

Strong with business platforms (Zoho, Salesforce, or similar). Much of the leverage lives there, not in custom code.

You can sit with a non-technical client, understand the problem, and come back with a working solution.

Still enjoy building. This is technical leadership, not coordination.

Self-driven. You'll often be the senior-most engineer on the account.

Why you'll love this role

Full ownership from first call to delivery — you run projects, not a ticket queue.

Direct access to clients and leadership. Your decisions ship the same week.

Constant variety: new systems, new problems, new builds.

A step into technical leadership without giving up the hands-on work.

About the role

You'll join a growing engineering team as a Lead Engineer / Architect, leading a small team in India and working closely with engineering teams in the US and Mexico. You'll be responsible for driving technical execution, solving complex engineering problems, and leading a team to build, deliver, and maintain reliable software.

This is a hands-on leadership role for someone with strong backend engineering expertise who can also contribute across the stack when needed.

Location: Hyderabad

Work Mode: Hybrid

What you'll do

• Lead a small engineering team in India, driving day-to-day technical execution and delivery
• Work closely with teams in the US and Mexico to plan, develop, and deliver software
• Design and build robust, scalable backend systems using .NET
• Own technical decisions around architecture, implementation, and engineering best practices
• Contribute across the full stack when needed.
• Break down complex technical problems and drive them through to implementation and delivery
• Mentor engineers and help maintain a high standard of engineering quality
• Collaborate with distributed teams and communicate technical decisions clearly

What we're looking for

• 8+ years of software engineering experience, with experience in a lead-level role
• 2+ years of experience leading a team
• Strong, hands-on expertise in .NET and backend engineering
• Strong understanding of software architecture and scalable backend systems
• Full-stack experience is preferred, with React being a plus
• Experience leading a small engineering team and driving technical delivery
• Excellent communication skills, particularly when working with distributed teams
• Strong problem-solving skills and a hands-on approach to engineering
• AI expertise is a plus
• Experience with payment systems or payment-related products is a plus

Who you are

• You take ownership and drive work through to completion
• You're hands-on and enjoy solving challenging engineering problems
• You're curious, resourceful, and always looking to learn
• You communicate clearly and work well with teams across different locations
• You lead by example and help the team deliver high-quality work

Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into production-ready code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.

Our Culture

Who we are:

Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.

How we work:

• We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
• Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
• Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
• We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
• We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for optimal mental performance. It makes for a happier and more productive team.

About the Role

We're looking for a Forward Deployed Engineer to join our Pune HQ2 team and work at the intersection of cutting-edge AI and complex enterprise software. You'll embed directly with customer engineering teams, writing production code, architecting solutions, and helping customers transform how they build software with Blitzy.

This isn't a traditional solutions engineering role. We're looking for a hands-on engineer who thrives in ambiguous environments and is equally comfortable debugging integrations, building Java/Spring Boot services, participating in sprint planning, or whiteboarding architecture with a CTO.

The role centers on our Java/Spring Boot enterprise stack, spanning REST services, event-driven microservices, integrations, and production operations. You'll work closely with US-based engineering and customer teams, with regular time zone overlap for collaboration and handoffs.

You'll also influence our product roadmap through direct customer feedback, identifying new use cases and technical challenges that shape Blitzy's evolution. High performers may have opportunities to visit our Cambridge, MA headquarters and transition into core product or platform engineering as we scale.

Responsibilities

• Deploy Blitzy into complex enterprise environments, navigating technical constraints and translating customer business goals into practical technical solutions
• Embed with customer teams during critical implementations, partnering with engineering leaders on sprint planning, architecture reviews, technical decisions, and production deployments
• Build production-quality integrations, services, and extensions using Java 17 and Spring Boot 3.x, including Spring MVC, Spring Data JPA, Spring Security, and Actuator
• Build and evolve REST APIs using a contract-first approach with OpenAPI/Swagger, with data persistence through PostgreSQL, Hibernate/JPA, and Liquibase
• Package and deploy containerized services with Docker and manage dependencies through Maven, including BOMs and multi-module projects
• Develop custom solutions, reusable patterns, scripts, and tools that accelerate customer adoption and demonstrate Blitzy’s capabilities in enterprise environments
• Debug complex issues spanning customer infrastructure, integrations, microservices, and the Blitzy platform, supporting production operations, health checks, metrics, and configuration management
• Drive successful POCs and technical demonstrations that showcase advanced use cases, deliver measurable value, and expand into enterprise-wide deployments
• Maintain high standards for testing, code quality, performance, and observability using JUnit 5, Cucumber/Gherkin, JMeter, Git, Logback/SLF4J, SpotBugs, and SonarQube
• Identify recurring customer needs, technical patterns, and expansion opportunities that inform product priorities and enterprise adoption
• Collaborate with product and engineering teams to translate field experience into platform improvements, technical documentation, reusable best practices, and contributions to the core product

Qualifications

• 8+ years of software engineering experience with a track record of shipping production code in enterprise environments
• Recent or past experience in global technology consulting environments, with direct engagement with the customer's engineering leadership teams.
• Deep hands-on expertise with Java 17, Spring Boot 3.x, Spring MVC, Spring Data JPA, Spring Security, Hibernate/JPA, and Actuator
• Strong experience with REST APIs, OpenAPI/Swagger, PostgreSQL, Liquibase, Maven, Docker, and modern testing practices including JUnit 5, Cucumber/Gherkin, and JMeter
• Experience building and operating microservices with CI/CD, cloud architecture, observability, production monitoring, and tools such as Micrometer, Dynatrace, SpotBugs, and SonarQube
• Knowledge of enterprise modernization and distributed systems, including Java 8 → Java 17 upgrades, monolith → microservices migrations, Kafka, Avro, Schema Registry, caching, and resilience patterns
• Strong understanding of Agile/Scrum and modern software development practices, with the ability to communicate complex technical concepts to audiences ranging from interns to CTOs
• Experience in customer-facing engineering, developer tools, AI/ML, or enterprise modernization is a plus, along with technical thought leadership through blogs, talks, or open-source contributions
• Passion for AI-powered software development and willingness to work in person from Pune, India, with overlap for US-based teams

U.S. GenAI startup, Pune Office, Private Limited Company

Full Time Employment directly to our Private Limited Company. We are committed to an enduring and robust presence in Pune. Our goal is to enable you to have a long enduring career at Blitzy with opportunity for advancement throughout your career at the company. If you want a role you can turn into a career, read on! If you are looking for a short term arrangement, we recommend you look elsewhere!

Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.

Technical Project Manager.

Run delivery for 15–25 backend, frontend, and AI engineers building construction

tech and CAD drawing-automation software — with structural engineers on one

side of you and the codebase on the other.

FULL-TIME

MANAGER · 7+ YRS

Engineering — Delivery & Program Management

TEAM YOU’LL RUN

15–25 engineers · Backend · Frontend · AI

LOCATION

India

EXPERIENCE

6–7 yrs min · 4+ yrs managing engineers

WORK MODE 

Hybrid

DOMAIN

ENGAGEMENT

AEC · CAD / BIM automation · Multi-tenant SaaS

About BuildTwin

BuildTwin is a multi-tenant SaaS platform that runs the day-to-day operations of construction

and infrastructure companies — their workforce, projects, commercials, and documents — on a

single system. Alongside it we build an AI drawing-automation platform that turns structured

element data into production-ready technical drawings and exports them to PDF and DXF.

Both products are built by a small, senior engineering group in India: backend engineers on an

AWS serverless platform, frontend engineers on Angular and React, and AI engineers working

on drawing generation and data extraction. Sitting next to them — not in another building, not

in another timezone — are the structural and detailing engineers who define what a correct

drawing actually is.

That adjacency is our biggest advantage and our hardest coordination problem. This role exists

to make it work.

 Role overview

We are hiring one Technical Project Manager to own delivery across our engineering teams in

Bengaluru. You will run 15–25 engineers across backend, frontend, and AI workstreams, and

you will be the person who turns requirements originating with our structural and detailing

engineers into scoped, sequenced, shipped software.

This is a technical role. You will not be handed a groomed backlog and asked to move cards

across it. You will sit in the design discussion and have a view on how and when — you will

push back on an approach that will not scale, ask why a trade-off was made, and know the

difference between a two-day change and a two-sprint one. You are not expected to write

production code. You are expected to read it, understand the system, and never be the least

informed person in a technical conversation you are chairing.

The centre of gravity of this job is the floor, not the calendar. Most of your day is

spent with the people building and the people specifying — closing the gap between what a

domain expert means and what an engineer can implement deterministically. Status

reporting is a by-product of doing that well, not the job itself.

What you’ll own.

 Delivery ownership

Own the end-to-end delivery plan for every active workstream — scope, sequence,

dependencies, capacity, and dates that actually hold.

Break large, ambiguous product intent into engineering-sized increments with explicit

acceptance criteria, agreed with the people who will build them.

Run the operating cadence: planning, standups, refinement, demos, and retrospectives that

change something the following week.

Maintain one honest view of status — on track, at risk, slipped, and why — visible to the

founders and to the team at the same time.

Manage cross-team dependencies between backend, frontend, AI, and drawing-automation

workstreams so no team idles waiting on another.

Surface risk early, quantify it, and arrive with options — never an escalation without a

proposal.

Protect the team from thrash: absorb changing priorities, re-plan properly, and say no or not

now when a plan cannot take more.

Drive releases to genuinely done — QA, UAT with domain experts, documentation, and post

release verification included.

Own and improve the delivery metrics that matter: cycle time, predictability of committed

scope, defect escape rate, and rework.

Run the release calendar across two products so neither becomes the permanent second

priority.

Technical partnership

Participate substantively in technical discussions on design, sequencing, and trade-offs —

and hold your own with senior engineers.

Understand the architecture well enough to reason about blast radius: what a schema

change touches, why a migration is risky, why an API contract must be agreed before two

teams start.

Challenge estimates that look wrong in either direction, and recognise when an estimate is

uncertain because the problem is still unclear.

Translate technical constraints into decisions leadership can act on, and business constraints

into direction engineers can act on.

Keep testing, observability, and debt-reduction work on the plan instead of losing to features

every single quarter.

Insist that decisions get written down — architecture choices, drawing rules, API contracts,

and the reasoning behind each.

Stay close to the artefacts: read the tickets, the design docs, the PR titles, and the incident

write-ups.

Chair technical discussions where the outcome is a decision with an owner and a date, not a

longer discussion.

Adobe Experience Platform Technical Lead

(Sr. Strategist, Tech Services or Principal Strategist, Tech Services)

About the Role

We're looking for a seasoned Adobe Experience Platform (AEP) Technical Lead to join our

team. In this role, you'll be the go-to expert for a suite of Adobe technologies – spanning AEP,

Real-Time CDP, Adobe Journey Optimizer, and Customer Journey Analytics – serving clients

across multiple industries.

You'll balance strategic thinking with hands-on execution: architecting solutions, building within

the platforms, and guiding other developers through implementation. You'll work alongside a

collaborative team of strategists, analysts, creatives, and engineers working across the broader

tech ecosystem – including Salesforce, Marketo, Adobe Experience Manager, and Adobe

Target – and you'll be a trusted voice in the room with our clients.

What You'll Do

Technical Leadership & Architecture

• Design and architect end-to-end AEP implementations, including data ingestion, schema

design (XDM), identity resolution, and segmentation strategies

• Lead solution design sessions, translating business requirements into scalable, bestpractice

technical implementations

• Define implementation standards, patterns, and documentation for the AEP ecosystem

across client engagements

• Break down complex technical implementations into clear, manageable tasks, delegating

ownership to other developers and team members

• Conduct peer reviews of other developers' work, providing constructive technical

feedback and ensuring quality and consistency

• Mentor and guide other developers working alongside you on AEP, RTCDP, AJO, and

CJA

Hands-On Platform Work

• Configure and build within Adobe Experience Platform: data streams, datasets,

schemas, sources, destinations, and merge policies

• Implement and manage Real-Time CDP audiences, identity graphs, and activation

workflows to downstream channels and platforms

• Build and optimize customer journeys in Adobe Journey Optimizer, including triggers,

decisioning logic, and cross-channel orchestration

• Set up and configure Customer Journey Analytics workspaces, connections, data views,

and calculated metrics

• Collaborate with adjacent developers on integrations with AEM, Target, Marketo,

Salesforce, Snowflake, and other ecosystem tools

Client Engagement & Advisory

• Serve as a subject matter expert for clients, helping them understand platform

capabilities, constraints, and best practices

• Lead and participate in discovery sessions, technical workshops, and solution

presentations

• Recommend implementation approaches based on industry experience, making tradeoffs

clear and actionable

• Translate complex technical concepts for non-technical stakeholders including

marketing, strategy, and product teams

• Stay current with the Adobe product roadmap and proactively bring relevant updates and

opportunities to client conversations

Cross-Functional Collaboration

• Work closely with strategists, analysts, and creatives to ensure technical solutions

support campaign goals and data insights

• Coordinate with other platform developers (AEM, Salesforce, Target, Marketo) to deliver

cohesive, integrated solutions

• Participate in sprint planning, backlog grooming, and technical discovery as part of an

agile delivery team

What You Bring

Required

• 5+ years of experience working in the Adobe Experience Cloud ecosystem, with deep,

hands-on expertise across AEP, RTCDP, AJO, and CJA

• Proven ability to architect and implement AEP solutions from the ground up, including

XDM schema design, data ingestion pipelines, and identity resolution

• Experience activating audiences from RTCDP to paid media, email, Adobe Target, and

other downstream destinations

• Hands-on AJO experience building multi-step customer journeys, decisioning, and

cross-channel messaging

• Strong understanding of CJA configuration, including connections, data views, and

Analysis Workspace reporting

• Experience with AEP RESTful APIs and Configuration as Code (CaC) best practices and

techniques

• Experience guiding and reviewing the work of other developers, with a strong eye for

implementation quality

• Comfortable presenting technical solutions and recommendations directly to clients and

stakeholders

• Familiarity with adjacent technologies including AEM, Adobe Target, Salesforce, or other

marketing/data platforms

Nice to Have

• Adobe certifications (e.g., Adobe Certified Expert in RTCDP, CJA or AJO)

• Experience with data engineering concepts: SQL, ETL pipelines, API integrations, or

event streaming

• Familiarity with web data collection via Adobe Web SDK / alloy.js or Launch/Tags

• Agency or consultancy background with experience managing multiple client

engagements simultaneously

• Understanding of data privacy frameworks (GDPR, CCPA) and how they apply to

customer data platforms

Why This Role

• Work on complex, high-impact engagements across a diverse client portfolio

• Shape how our practice approaches the Adobe ecosystem – your architecture decisions

matter

• Collaborate with experienced practitioners across the full digital experience stack

• Grow your craft in a team that values technical depth and client partnership equally

Role: Lead Engineer

Location: India, Remote

Experience: 7-8 Years

Shift: Overlap with US Business Hours (as required)

Algoworks

www.algoworks.com

About the company

Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.

For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.

At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.

Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.

Follow the video below to know about us! Clipchamp

Role overview

We are looking for an experienced Salesforce Technical Lead with 7–8 years of hands-on Salesforce development experience and proven leadership capabilities. The ideal candidate should be capable of leading a team, mentoring junior developers, acting as the technical anchor for projects and driving end-to-end delivery while working closely with US-based clients.

The candidate should possess excellent technical expertise across the Salesforce ecosystem, strong client-facing communication skills and experience translating business requirements into scalable technical solutions. Experience with Salesforce Agentforce and AI-powered Salesforce implementations is highly preferred.

Key responsibilities:

• Lead the design, development and implementation of Salesforce solutions across multiple projects.
• Act as the technical anchor for the team by providing architectural guidance, conducting code reviews and ensuring adherence to Salesforce best practices.
• Lead and mentor a team of Salesforce Developers and Consultants, providing technical guidance and grooming junior team members.
• Work directly with US-based clients to understand business requirements, conduct discovery sessions and translate functional requirements into technical designs.
• Participate in solution design discussions and recommend scalable, secure and maintainable Salesforce solutions.
• Break down requirements into technical tasks, allocate work to team members and ensure timely execution and delivery.
• Own end-to-end project execution, including effort estimation, sprint planning, risk identification, dependency management and release coordination.
• Ensure high-quality deliverables through design reviews, code reviews, testing support and adherence to development standards.
• Collaborate with Business Analysts, Project Managers, QA teams, Architects and stakeholders throughout the project lifecycle.
• Troubleshoot complex production issues and provide technical leadership during critical situations.
• Drive adoption of Salesforce best practices, DevOps processes and AI-driven capabilities using Agentforce.
• Support pre-sales activities by providing technical inputs, effort estimations and solution recommendations whenever required.

Required skills and competencies:

Salesforce platform

• Strong hands-on experience with:
• Apex
• Lightning Web Components (LWC)
• Aura Components
• Visualforce
• SOQL and SOSL
• Flows
• Batch Apex
• Queueable and Scheduled Apex
• Platform Events
• REST and SOAP APIs
• Integrations using Named Credentials and OAuth
• Custom Metadata Types
• Security and Sharing Model
• Governor Limits Optimization

Salesforce clouds

Strong implementation experience in:

• Sales Cloud
• Service Cloud
• Experience Cloud

Good to have

• Financial Services Cloud (FSC)
• Revenue Cloud
• Marketing Cloud

Agentforce and AI

• Good understanding of Salesforce Agentforce and Agentic AI capabilities.
• Hands-on implementation experience on at least one Agentforce project.
• Knowledge of Prompt Builder, AI-powered automation, Data Cloud integration and AI Agents is highly desirable.

Development and DevOps

• Git/GitHub
• CI/CD Pipelines
• Salesforce DX
• VS Code
• Deployment tools such as Copado, AutoRABIT, Gearset, or Jenkins
• Agile/Scrum methodology

Must have skills:

• 7–8 years of Salesforce development experience.
• Experience leading a team of Salesforce Developers.
• Proven ability to mentor and groom junior team members.
• Strong experience working with US-based clients in client-facing roles.
• Experience in requirement gathering, solution discussions, technical documentation and requirement translation.
• Experience in task planning, effort estimation, sprint planning and execution tracking.
• Ability to manage multiple priorities while ensuring successful project delivery.
• Excellent analytical, problem-solving and decision-making skills.

Certifications (Mandatory):

Candidates should possess multiple Salesforce certifications, including:

• Salesforce Certified Administrator
• Salesforce Platform Developer I (PD I)
• Salesforce Platform Developer II (PD II)
• Salesforce Sales Cloud Consultant
• Salesforce Service Cloud Consultant
• Salesforce Agentforce Certification (Specialist/Developer or equivalent)

Additional Salesforce certifications will be an added advantage.

Nice to have skills:

• Experience working in Agile environments.
• Exposure to enterprise-scale Salesforce implementations.
• Strong understanding of integration architecture and middleware platforms.
• Excellent stakeholder management and presentation skills.
• Self-driven, proactive and capable of independently driving technical discussions with customers.

Desired attributes:

• Excellent verbal and written communication skills.
• Strong leadership and mentoring capabilities.
• Client-first approach with exceptional stakeholder management skills.
• Strong ownership mindset with accountability for end-to-end delivery.
• Ability to work effectively in cross-functional and distributed teams.
• Excellent planning, prioritization and execution skills.
• Strong collaboration and conflict-resolution abilities.

Why join us?

• Opportunity to lead large-scale Salesforce transformation programs.
• Work directly with global clients and enterprise implementations.
• Exposure to cutting-edge Salesforce AI and Agentforce technologies.
• Collaborative, learning-focused work culture with opportunities for career growth and leadership.

Interview process

2 rounds of discussion.

Responsibilities

·        Build and operate the agentic loop: trigger → orchestration → agent execution → output to JIRA → human accept/reject → next agent, across design, coding, review, and testing agents.

·        Implement model routing and retry logic across a provider-agnostic model layer (e.g., Claude via AWS Bedrock, self-hosted or alternative models as cost/sovereignty hedges), including business-continuity fallback if a given provider becomes unavailable.

·        Own token cost control and context window management — per-agent and per-run budgets, circuit breakers that halt runaway execution, and cost observability tied back to JIRA.

·        Stand up and maintain observability, alerting, and monitoring across the agent fleet (e.g., Langfuse or equivalent), so agent health, cost, and quality are visible in real time.

·        Implement agent governance and safety guardrails: deterministic pre/post hooks gating every LLM call, kill switches, prompt injection prevention and mitigation, and audit logging.

·        Integrate the harness with JIRA as the system of record and other business systems as needed, ensuring every agent action, decision, and human override is tracked with no side channels.

·        Pair directly with client engineers throughout — this is capability transfer, not black-box delivery. You'll document, demo, and hand over as you build.

·        Work in outcome-based delivery stages (spike → architecture sign-off → build → pilot) with gated milestones tied to working software demos, not fixed artifact checklists.

·        Participate actively in team discussion and design decisions — this team expects engineers to challenge ideas constructively and speak up, not defer silently.

Must-Have Experience

·        Hands-on production experience building agentic systems(not tutorial-level or personal-project experience.) Candidates should be able to speak concretely about systems they've shipped.

·        Practical experience with agentic frameworks such as LangChain, LangGraph, or equivalent orchestration frameworks.

·        Experience with LLM orchestration and model routing across multiple providers/models, including fallback and retry design.

·        Working knowledge of agent governance: guardrails, human-in-the-loop approval flows, kill switches, and audit trails.

·        Practical understanding of prompt injection risks and mitigation techniques.

·        Experience with token cost management and context window/memory handling at production scale — this is a named governance requirement for the engagement, not a nice-to-have.

·        Strong Python (or equivalent) engineering background, comfortable working in AWS environments (Bedrock/AgentCore exposure a strong plus).

·        Experience with observability/monitoring tooling for distributed or agentic systems (e.g., Langfuse, Datadog, or equivalent).

·        Comfortable working with JIRA/Atlassian APIs or similar ticketing-system-of-record integrations.

Nice to Have

·        Direct experience with AWS Bedrock AgentCore, Temporal (or similar workflow orchestration), or LiteLLM-style model gateways.

·        Exposure to Cursor or other AI-native IDEs in a production engineering context.

·        Experience with self-hosted open-weight models (e.g., DeepSeek, GLM) as cost or sovereignty hedges alongside commercial APIs.

·        Financial services or other regulated-industry background.

·        Familiarity with Claude Code, Claude Cowork, or Claude Skills.

Qualifications

·        Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

·        3-5+ years in software/platform engineering, with a meaningful portion of that time specifically on agentic or LLM-orchestration systems (not general ML or data engineering alone).

Relevant Experience

·        Already built this kind of system and can talk through the trade-offs from experience, not theory.

·        Comfortable operating with ambiguity - technology choices (frameworks, specific models, tooling) are expected to evolve during the engagementand milestones are tied to outcomes rather than fixed deliverables.

·        Will contribute opinions - quiet execution without a point of view is not a fit for this team.

We're Hiring for Project Engineer – BMS ( MNC Company )

Location: Pune

Experience: 3–4 Years

Qualification: Diploma / Degree in Engineering

Salary: As per Company Norms

Department: BMS (Building Management System)

About the Role

We are looking for an experienced Project Engineer – BMS to join our team in Pune. The role involves managing and coordinating BMS project execution and handover, ensuring projects are delivered as per approved drawings, specifications, quality standards and timelines.

Key Responsibilities

• Plan, schedule, coordinate and monitor assigned BMS engineering projects.
• Manage end-to-end project execution and handover activities.
• Review engineering tasks and initiate necessary corrective actions.
• Coordinate with subcontractors and ensure compliance with project quality requirements.
• Ensure availability of required equipment for BMS project execution.
• Coordinate with Electrical, QA/QC and EHS teams for safe and proper execution.
• Liaise with clients and consultants for BMS project activities.
• Monitor project progress and prepare status reports.
• Coordinate with the Project Manager for labour allocation and site requirements.
• Ensure execution is carried out as per approved drawings, specifications and quality standards.
• Support project completion and BMS handover activities.

Candidate Requirements

• 3–4 years of relevant experience in BMS project execution and handover.
• Diploma / Degree in Engineering.
• Hands-on experience in BMS site/project execution.
• Experience in client, consultant and subcontractor coordination.
• Good understanding of QA/QC and EHS requirements.
• Strong communication, coordination and project management skills.

Interested candidates can apply with their updated CV.

Role Overview

We are looking for an experienced MEP Site Engineer to supervise and coordinate MEP works for corporate and commercial interior projects.

Key Responsibilities

• Supervise MEP installation and execution at project sites.
• Coordinate electrical, HVAC, plumbing, fire-fighting, and other MEP services.
• Review MEP drawings and ensure proper site execution.
• Coordinate with MEP consultants, contractors, vendors, and other project teams.
• Monitor site progress and ensure work is completed as per schedule.
• Inspect the quality of MEP installations.
• Identify and resolve technical and site coordination issues.
• Coordinate MEP works with civil and interior activities.
• Conduct site inspections and measurements.
• Prepare daily/weekly progress reports.
• Ensure compliance with project specifications and safety requirements.

Required Skills

• Strong knowledge of MEP services and site execution.
• Ability to read and understand MEP drawings.
• Good knowledge of electrical/HVAC/plumbing/fire-fighting works.
• Strong coordination and communication skills.
• Experience in corporate/commercial interior projects is preferred. 

Mactores is the agent-native AWS modernization firm. Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

We are seeking an experienced Senior Database Developer to lead and support Oracle to PostgreSQL/Aurora PostgreSQL migration initiatives. The role involves deep hands-on work across SQL refactoring, schema conversion, DMS operations, performance tuning, and post–go-live stabilization. The candidate will work closely with application teams, cloud engineers, and stakeholders to ensure a smooth, performant, and compliant migration.

What you will do?

• Refactor and convert Oracle SQL, PL/SQL, and database objects to PostgreSQL-compatible SQL/PLpgSQL.
• Analyze and remediate AWS SCT (Schema Conversion Tool) findings and limitations.
• Manage and maintain Flyway migration codebase (versioned scripts, repeatable migrations, rollbacks).
• Identify, troubleshoot, and fix database-related application bugs.
• Perform query optimization for PostgreSQL (execution plans, indexing strategies, query rewrites).
• Support and monitor AWS DMS during full load and CDC phases.
• Diagnose and resolve DMS data and performance issues.
• Perform data validation and reconciliation between Oracle and PostgreSQL.
• Collaborate with application teams to align SQL behavior and performance expectations.

What are we looking for?

• Bachelor's degree in Computer Science or a related field.
• 5+ years of experience as an Oracle/PostgreSQL DBA and database developer.
• Strong experience with Oracle Database and PostgreSQL / Aurora PostgreSQL.
• Hands-on expertise in Oracle to PostgreSQL migration.
• Advanced SQL and query performance tuning skills.
• Experience with AWS SCT and AWS DMS.
• Knowledge of Flyway/Liquibase or similar schema migration tools.
• PostgreSQL internals: indexing, statistics, execution plans.
• AWS services: RDS/Aurora, CloudWatch, IAM (preferred).

You will be preferred if:

• Familiarity with automation and configuration management tools, such as Ansible, Chef, or Puppet.
• Familiarity with IAAC tools such as Terraform, CloudFormation.
• Familiarity with CI/CD implementation tools like Liquibase/Flyway.
• AWS Certified Database – Specialty.
• AWS Certified Solutions Architect.

Supercharge Your Career as a Technical Project Manager at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for a seasoned, techno-functional Project Manager who can own end-to-end delivery for multiple projects while building and growing a high-performing team of 15–18 people. This is a hands-on project management role that blends three dimensions: delivery excellence (on-time, first-time-right, within scope and cost), customer partnership (building trusted relationships and delivering measurable business impact), and people leadership (developing, upskilling, and growing your team).

The ideal candidate is equally comfortable in a technical design discussion, a customer QBR, and a career conversation with a team member.

What Will You Be Doing?

Key Responsibilities

1. Delivery Execution & Ownership

• Own end-to-end delivery of projects/releases — on-time, first-time-right, and within the agreed cost, timeline, and scope.
• Drive project and release planning, including work breakdown, estimation, resource planning, dependency mapping, and risk-adjusted scheduling.
• Track and manage scope changes with disciplined change control; balance customer asks against commercial and timeline commitments.
• Proactively identify delivery risks and drive mitigation before they become escalations.

2. Quality & Continuous Improvement

• Define, track, and report quality metrics (defect density, leakage, first-time-right rate, SLA adherence, velocity/predictability).
• Institutionalize first-time-right practices: reviews, definition of done, test coverage, and release readiness gates.
• Drive continuous improvement through retrospectives, root-cause analysis, and measurable corrective actions carried into subsequent releases.

3. Customer & Stakeholder Management

• Build and deepen relationships with customer stakeholders at working and leadership levels; act as a trusted delivery partner, not just a status reporter.
• Own the cadence of customer communication — Weekly Status Reports (WSR), Monthly Business Reviews (MBR), and Quarterly Business Reviews (QBR) — with crisp, data-backed narratives on progress, risks, and value delivered.
• Build deep business and domain knowledge of the customer and the projects under the client portfolio; use that context to anticipate needs, shape solutions, and identify growth opportunities.
• Manage expectations transparently — communicate early on risks, trade-offs, and course corrections.

4. Governance, Reporting & Delivery Standards

• Ensure adherence to organizational delivery standards, processes, and governance frameworks across all projects.
• Maintain rigorous delivery hygiene: minutes of meetings, action-item tracking to closure, and up-to-date RAID logs (Risks, Assumptions, Issues, Dependencies).
• Provide accurate and timely internal reporting — project health, margins, utilization, staffing, and escalations — to delivery leadership.
• Work in synergy with support functions (HR, Talent Acquisition, Finance, IT, Operations) for staffing, invoicing, compliance, and enablement needs.

5. People Leadership & Development

• Manage, mentor, and grow a team of 15–18 engineers and leads — spanning goal setting, regular 1:1s, performance management, and career development conversations.
• Build individual upskill plans aligned to project needs and career aspirations; track progress and create stretch opportunities.
• Develop a leadership pipeline by identifying and grooming leads and anchors within the team.
• Foster a culture of customer-first, ownership, accountability, and continuous learning; manage performance issues early, fairly, and constructively.
• Drive team engagement, retention, and recognition.

6. Techno-Functional Contribution

• Participate credibly in solution and architecture discussions; challenge estimates and technical approaches where needed.
• Translate business requirements into technical direction for the team, and technical constraints into business language for the customer.
• Stay current with engineering practices (Agile/Scrum, DevOps, CI/CD, cloud, and AI-assisted development) and drive their adoption where they improve delivery outcomes.

Requirements

What Makes You the Perfect Fit?

• 8–10 years of overall experience in IT services, with at least 3–4 years managing delivery and teams of 12+ members.
• Strong techno-functional profile: an engineering background with hands-on technical experience earlier in the career, now combined with delivery and domain depth.
• Proven track record of on-time, within-budget delivery across multiple releases or projects.
• Demonstrated experience running customer governance cadences (WSR/MBR/QBR) and managing senior client stakeholders.
• Solid command of estimation techniques, release planning, quality metrics, and delivery governance artifacts (RAID logs, MoM, action trackers, status dashboards).
• Experience with Agile/Scrum and hybrid delivery models; working knowledge of tools such as Jira, Azure DevOps, or equivalent.
• Strong people-management credentials: performance management, upskilling, career development, and conflict resolution.
• Excellent written and verbal communication — able to produce crisp executive-level reporting and lead difficult conversations with confidence and empathy.

Good to Have

• PMP, PRINCE2, CSM/PSM certification.
• Exposure to AI-assisted delivery practices and productivity tooling.
• Domain exposure (e.g., energy/utilities, real estate, or public sector).
• Experience contributing to presales, account growth, or delivery excellence initiatives.

Education

• Bachelor's degree in Engineering / Computer Science or equivalent; MBA or equivalent management qualification is a plus.