Engineering Manager

Forward-deployed engineers (FDEs) are Mactores' services layer. You embed with the customer's team, own outcomes from discovery through the production cutover, and personally carry the delivery commitment.

The agent platform we deploy absorbs 60–70% of engagement work, discovery, assessment, design, and testing. You absorb the judgment: target architecture, refactoring trade-offs, model selection, cutover strategy, and the decisions an agent platform cannot make. The agent absorbs scale. You absorb judgment. 

This is not a staff-augmentation seat and not an advisory role. You ship.

What you will do?

• Deliver production agentic AI systems and AWS modernization engagements on committed dates across three pillars: Data Platform Modernization, Application & Database Modernization, and AI Agents for Apps.
• Build and productionize AI agents, orchestration, retrieval pipelines, evaluation harnesses, observability running against real customer data, not demo data.
• Convert existing products into agents: expose product functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Convert existing Business processes into agents: expose process functionality as callable tools for agent-to-agent composition, or replace form-and-click UX with agent-native, intent-driven interfaces.
• Embed directly with customer engineering teams. Run architecture sessions, defend design decisions, and align stakeholders from VP Engineering to CTO.
• Make agent decisions traceable and defensible, validation runs in parallel with live workloads, and outputs hold up to internal audit and regulators (HIPAA, PCI-DSS, FSI-grade governance where the vertical demands it).
• Feed field experience back into the platform and practice: your deployment patterns, integration playbooks, and edge cases shape how we deliver.

What are we looking for?

• Excellent communication skills (English) — verbal and written. Non-negotiable. You will present architecture to customer CTOs, write documents that hold up in audit, and defend judgment calls in the room. If you can build but not explain, this role is not a fit.
• You have shipped production agentic AI systems on AWS. Not POCs, not notebooks — systems running in production for real users. This is the primary qualification. Be prepared to walk through what you shipped, the decisions you made, and what broke.
• Deep understanding of agentic architecture — you can design an agent system from first principles and explain why each component exists:
• Agent design patterns: single-agent vs. multi-agent systems, supervisor/orchestrator patterns, hierarchical agent topologies, planner–executor separation, and when each applies.
• Orchestration: building and operating orchestrator agents that decompose tasks, route work to specialist agents or tools, and manage state across multi-step workflows (LangGraph, Strands Agents, CrewAI, or equivalent).
• Memory: short-term/working memory (context management, conversation state) and long-term memory (episodic and semantic stores, vector- and graph-backed retrieval), and the production trade-offs of each.
• Reflection and self-correction: critique loops, self-evaluation, retry-with-feedback patterns, and evaluation harnesses that catch agent failures before customers do.
• Tool use and function calling: schema design, tool-selection reliability, error handling, and agent-to-agent composition.
• RAG and retrieval pipelines: chunking, embedding, hybrid retrieval, reranking, and grounding agent decisions in customer data.
• Strong AWS production experience: Amazon Bedrock and AWS AI services, plus core platform services (Lambda, API Gateway, DynamoDB, RDS/Aurora, Glue, EMR, Redshift, Kinesis, or similar depending on specialization).
• Solid software engineering fundamentals Python, TypeScript, CI/CD, infrastructure-as-code, testing-driven development discipline.
• Experience with data or application modernization (database migration, legacy refactoring, data platform builds) is a strong plus, since agents run against these workloads.
• Indicative experience: roughly 3–10 years in engineering roles, with agentic AI / GenAI as your current day job. We have demonstrated agent-native expertise over tenure — an engineer with 3–4 years of hands-on agentic AI work typically outperforms a 12-year generalist on this work.

You'll be preferred if you've:

• US English verbal and written fluency 
• Delivery experience in one or more of our verticals: Financial Services, Healthcare & Life Sciences, Internet & Software, Manufacturing, or Telco/Media/Entertainment/Gaming/Sports.
• Model tuning and fine-tuning: systematic prompt engineering and optimization; parameter-efficient fine-tuning (LoRA/QLoRA or similar); instruction tuning; working knowledge of RLHF/DPO; sound judgment on when to fine-tune vs. prompt vs. RAG; and evaluation of tuned models against baselines. Fine-tuning experience on Amazon Bedrock or SageMaker is a plus.
• Experience with compliance-sensitive AI systems (HIPAA, PCI-DSS, SOC 2, data residency).
• Knowledge graph, code-analysis (AST), or CDC/streaming experience (Debezium, Kafka/MSK).
• Solid software engineering fundamentals — Java, C++, Go Lang, .Net, Rust
• Prior customer-facing consulting or forward-deployed experience.
• AWS certifications (Solutions Architect Professional, Machine Learning Specialty, or Data Analytics).

Why This Role?

• You own outcomes, not tickets. FDEs carry the delivery commitment personally — architecture, judgment, and cutover are yours.
• You work agent-native from day one. Our delivery model would not function without agents. You build with the platform, not around it.
• You ship. Engagements measured in weeks to production, legacy retired, outcomes named. No archived pilots.
• You compound. Field delivery informs the Aedeon platform roadmap; the platform's growth expands what you can deliver. Few engineering roles sit in that loop.

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

• Skills Required For Android Developer:-

Job description

• Looking for Business Development Managers who are excited to be a part of our fast-paced, high-intensity work environment and work with business leaders aligned with our mission.

Our Mission 2025 is to transform the way learning is delivered by impacting 1 million+ childrenannually to get closer to our vision to democratize quality early education.

As an integral part of our growing BDM team, you will contribute to our mission to expand from ourcurrent set of 700 partner schools to 7000+ schools in 3 years by 2025.

Responsibilities:

Primarily focus to be on the sale of products and services to potential customers within theassigned location/region.

Travel to the assigned locations to introduce/maintain product/services supply to targetconsumers and existing clients.

Understanding customers' needs and identifying sales opportunities.

Educate clients/customers on how products/services can benefit them financially andprofessionally.

Arrange meetings and visit clients/customers to demonstrate the features of products andservices to convince them to buy a product or subscribe to a service on a recurring basis.

Represent the brand during all customer and prospect interactions.

Create new leads within the assigned locations.

Maintain records/database of all sales leads (current and potential customers) and/orcustomer accounts.

Manage multiple accounts simultaneously and maintain rapport with current and potentialcustomers

Focus on increasing the sales of the company

Prepare and submit sales reports to the respective manager.

Update the CRM system.

Follow up for advances and balance payments from the customers

Attend trade exhibitions, conferences and meetings

Experience

0 - 3 years of sales experience

Education: Any Graduate

Language Preference: English, Hindi & any Local Language

Previous experience in sales position preferred

Job Location: Pune/Noida.

Skills & Abilities:

Ability to multitask and adhere to processes

Good communication skills, both verbal and written

Excellent customer servicing skills

Strong listening and sales skills

Self-motivated, results-driven and a good Team player

Is flexible to travel whenever required

Salary : 3-5 LPA Fixed + 1.5 Variables

Steinbeis India

Position: Senior Full Stack Developer

Experience: 2-5 years

Salary: Based upon Industry Standards (Best in Industry)

Job Description: Senior Full Stack Developer (MERN Stack)

We are seeking a highly skilled and experienced Senior Software Developer with a strong background in MERN Stack (MongoDB, Express.js, React.js, and Node.js) development.

Responsibilities:

• Lead and manage a development team, delegating tasks and ensuring effective collaboration.
• Design, develop, and maintain efficient and scalable web applications using the MERN Stack.
• Write clean, well-documented, and high-performing code while adhering to best practices and coding standards.
• Creating schedules and timelines for both you and your team, and ensuring strict adherence to these timelines.
• Implement robust security practices to safeguard data and applications.
• Conduct thorough testing and debugging to ensure the functionality, performance, and security of the applications.
• Work closely with product managers, designers, and other stakeholders to deliver solutions that meet business requirements.
• Provide technical guidance and mentorship to junior developers, assisting them in solving complex problems and improving their skills.
• Stay updated with the latest trends and advancements in MERN Stack development and suggest innovative ideas to enhance our software products.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 2 to 5 years of professional experience in MERN Stack development.
• Strong proficiency in Node.js, React.js, Express.js, MongoDB and java.
• Experience with RESTful API development and integration.
• Possessing a robust understanding of coding.
• Solid understanding of front-end technologies such as HTML5, CSS3, and JavaScript.
• Knowledge of database systems and proficiency in writing efficient database queries.
• Familiarity with version control systems (e.g., Git) and agile development methodologies.
• Excellent problem-solving skills and the ability to think critically.
• Strong communication and interpersonal skills, with the ability to collaborate effectively within a team.

Please submit your resume, along with relevant work samples, highlighting your experience with MERN Stack development.

Location: Gachibowli (Hyderabad)

Website: https://www.steinbeis.in/

Key Accountabilities:

·        Lead origination – conceptualize and develop implementable annual business plans to support growth of the Business Vertical / Organization. Meeting consultants, business influencers, EPC Contractors, OEMs.

·        Locate or propose potential business deals by contacting potential partners; discover and explore opportunities including comprehensive evaluation of opportunities and undertaking feasibility studies. Joint meeting with Applications team to understand project requirement, customer expectations, propose practical solution. Regular follow up and closing the deal.

·        Evaluate business potential and competition through continuous mapping of competing market players in terms of current business and new areas of business development.

·        Develop negotiating strategies by studying – OEM price inputs, Competition, Client requirements, Our capabilities.

·        Develop and nurture the BD team to work seamlessly with cross functional and business teams for achievement of desired results and timely submission of bids in the competitive bidding process.

·        Establish, build and maintain an excellent network in Oil and Gas Sector Companies, PSUs, LSTK/EPC Contractors, liquid customers, and industry associations to acquire market information, sustain current business as well as develop/incubate new businesses for growth.

·        Development of green field projects (Includes opportunities in D-O-N sector) and ensure adequate pipeline of projects/implementable ideas.

·        Constantly scout for attractive M&A opportunities to grow the business inorganically, especially in the areas of our interests.

·        Capture emerging O&M opportunities to retain the overall profitability for the business 

·        BE with additional qualifications, if any

At least 10 – 15 years’ experience in similar business.

Codenia Technologies LLP is Hiring for the Position of PHP Developer (2 - 3 years of experience) with good logical skills and following

Requirements :

Must have Laravel/Codeigniter Experience.

Responsibilities Integration of user-facing elements developed by front- end developers. ·

Build efficient, testable, and reusable PHP modules.

Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3. ·

Must have Good Communication Skills

Responsibilities:

• Responsible for developing Web Applications/ Rest Apis/ Automation Scripts.
• Design, Develop, Enhance and test Back End Web Modules using Nodejs, Nestjs Framework, Mongo DB.
• Research and explore existing solutions, competition to get a holistic understanding of the design and development.
• Communicate and collaborate effectively with various teams for effective outcomes.
• Meet deadlines in a high intensity work environment.
• Write Highly scalable and stable code.
• Pick up any project & amp; suggest a solution for completing it.
• Write production ready code with minimal bugs.
• Review other engineers' code and provide constructive feedback.
• Help grow the engineering team through involvement in the technology community (conferences, meetups, blog posts, open-source projects, etc) and referrals.
• Monitor changes in production & amp; rollback if necessary.
• Pair often and provide some guidance to more junior engineers.

Requirements:

• 2-6 years of working experience in backend technologies.
• Proficient in NodeJs, NestJs, Js.
• Understanding of Backend End Technologies.
• Proficient in RESTful APIs and API Communications.
• Understanding of Sql and NoSql Databases.
• Good grasp of Asynchronous Programming and its work arounds.
• Database schema Creation for business process.
• Working knowledge in user authentication and authorization.
• Implementing data protection Error Handling skills
• Good at analyzing and solving problems.
• Passionate to work in a start-up.
• Knowledge of firebase authentication and analytics.
• Knowledge of AWS deployment tools and strategy.
• Should be good with the Low Level and High Level Design.
• Understanding of Different Design Patterns.