Engineering Manager

Job Title: Engineering Manager

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Role Overview

As an Engineering Manager at Timble AI, you will manage, mentor, and scale our core engineering teams (including Backend, Frontend, and AI/ML divisions). You will remain highly technical, contributing to architecture decisions and system design, while taking full ownership of project delivery timelines, agile sprints, and team performance metrics.

Key Responsibilities

1. People Leadership & Mentorship: Manage and grow a cross-functional team of software engineers (SDE-1 to SDE-3). Conduct regular 1-on-1s, drive career growth paths, and foster an innovative, high-ownership engineering culture.
2. Delivery & Agile Project Management: Own the engineering sprint cycles. Work closely with Product Managers to break down roadmaps into execution goals, manage dependencies, and ensure high-velocity, predictable delivery.
3. System Design & Architecture: Provide technical governance and direction. Collaborate on core system architecture, design reviews, and ensure codebases remain clean, scalable, and modular.
4.  Engineering Excellence: Define and monitor key performance indicators (KPIs) for the engineering team, including code quality, test coverage, uptime, and system performance.
5. Hiring & Scaling: Actively partner with the talent acquisition team to identify, interview, and onboard top-tier engineering talent to help build our core verticals.

Required Skills & Qualifications

1. Experience: 5+ years of core software engineering experience, with at least 1–2 years of experience in an engineering management, tech lead, or team leadership role.
2. Technical Roots: Strong foundational background in backend systems, distributed architectures, or AI integration. Prior hands-on experience with Python/Django ecosystems, microservices, cloud infra (AWS/GCP), or heavy automation systems is highly valued.
3. Agile Mastery: Deep familiarity with Agile/Scrum development methodologies, sprint planning tools, and CI/CD pipelines.
4.  Communication: Exceptional interpersonal and cross-functional communication skills, with a track record of translating complex technical visions into clear execution steps.
5.  Education: B.Tech / M.Tech in Computer Science, Information Technology, or a related technical discipline from a reputed institute.

Learn more about us at: https://timbleglance.com

Location: Bangalore

Department: Engineering

Reports to: SVP

Experience required: 6+ years

About Tracxn:

Tracxn (Tracxn.com) is a Bangalore-based product company providing a research and deal sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals working around the startup ecosystem.

We are a team of 600+ working professionals serving customers across the globe. Our clients include Funds like Andreessen Horowitz, Matrix Partners, GGV Capital, and Large Corporations such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team: 

Tracxn's Technology team is 60+ members strong and growing. The technology team is subdivided into multiple smaller teams, each owning one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure where almost everyone is actively involved in technical development and design activities. We have a team-centric culture where the ownership and responsibility of a feature or module lie with a team compared to an individual.

We value ownership, continuous learning, consistency, and discipline as a team.

Our Tech Stacks:

We work on an array of technologies, including but not limited to backend and frontend systems such as Java, Python, Spring Boot, Node.js, ReactJS, Next.js, Webpack, and Storybook; cloud and serverless platforms like AWS, etc; data and infrastructure technologies such as Elastic Stack (Elasticsearch), MongoDB, MySQL, Redis, Kafka, and Ansible; large-scale web crawling solutions; modern data pipelines and ETL workflows; and AI/ML-driven projects.

Job Overview:

We are looking for experienced software engineers with 6+ years of overall software development experience, including backend development and proven people-management skills. The ideal candidate will lead the engineering team(s), drive technical excellence, and ensure timely delivery of high-quality software solutions.

Job Responsibilities:

• Lead, mentor, and manage a team of software engineers
• Own technical planning, architecture discussions, and execution
• Collaborate with product managers and stakeholders
• Drive best practices in software development, testing, and deployment
• Conduct code reviews and ensure high engineering standards
• Manage delivery timelines, resource planning, and technical risks
• Support hiring, onboarding, and performance management of engineers

Job Requirements :

Professional Experience

•  Proven experience leading or managing software engineering teams
• Track record of delivering complex, scalable software systems
• Experience driving technical initiatives and influencing architectural decisions
• Strong collaboration experience with product, design, and cross-functional teams.

Technical Leadership & Management

•  Ability to mentor, coach, and grow engineers across different experience levels
• Experience conducting performance reviews and providing technical feedback
• Strong ownership of team delivery, timelines, and quality
• Experience balancing hands-on technical work with people management

Backend & System Architecture Expertise

• Strong proficiency in modern backend architectures, design patterns, and microservices architecture.
• Proficiency in at least one server-side programming language (e.g., Java, Python, etc.)
• Solid understanding of API design principles and implementation
• Hands-on experience with relational and non-relational databases and knowledge of data pipelines and data warehousing concepts.

Technical Competencies

• Strong system design and problem-solving skills
• Knowledge of caching strategies, performance optimization, and scalability
• Understanding of data modeling and query optimization
• Familiarity with search and indexing technologies
• Understanding of security best practices in backend systems

Culture:

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

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

JOB REQUIREMENTS • 10+ years of experience in software development, with at least 5 years in as a Development Lead, Engineering Manager, or similar leadership role. • Strong hands-on technical background in backend/frontend/cloud technologies. • Understanding of cloud platforms (AWS/Azure/GCP) and microservices architecture. • Deep understanding of SDLC, Agile methodologies, version control, and DevOps practices, containers, CI/CD, and scalable architectures. • Excellent leadership, decision-making, and project management, problem solving skills. • Strong communication skills with the ability to present technical and business information clearly. • Ability to handle multiple projects and thrive in a fast-paced environment. • Strong ownership mindset with a focus on delivering high-quality outcomes. • Passion for mentoring, building teams, and improving engineering culture. JOB RESPONSIBILITIES Team Leadership & People Management • Lead, mentor, and manage the entire development team, including interns, junior developers, and senior engineers. • Conduct regular training sessions, knowledge-sharing meetings, and capability-building workshops. • Identify skill gaps and create growth plans for team members. • Manage performance reviews, provide feedback, and support career progression. • Create a culture of ownership, accountability, and high performance. Project & Delivery Management • Own the entire Software Development Life Cycle (SDLC) from planning to deployment. • Break down product requirements into sprint tasks and assign responsibilities. • Define and manage project deadlines, delivery milestones, and development roadmaps with the team. • Ensure timely delivery of high-quality features aligned with product goals. • Work closely with the CEO for project planning, updates, and escalations. • Ensure alignment between business needs and technical solutions. Technical Leadership • Provide architectural direction for scalable, secure, multi-tenant, multi-region systems. • Review code, ensure adherence to coding standards, and drive continuous improvements. • Evaluate and implement new technologies to keep the product stack modern and efficient. • Ensure best practices in security, performance, documentation, and DevOps pipelines. • Lead R&D initiatives for new features, tools, or tech stacks. Process & Quality Ownership • Implement and refine engineering processes, coding guidelines, and development workflows. • Ensure strict adherence to SDLC, secure development practices, and code review processes. • Introduce automation where possible (CI/CD, testing, deployment flows). • Drive continuous improvement in team productivity and software quality. • Conduct root-cause analysis and lead improvements to reduce bugs and downtime. Communication & Reporting • Act as the primary communication bridge between the CEO and development team. • Provide weekly project reports, progress updates, risk assessments, and performance insights. • Maintain transparency and clarity in project communication across the organization. Cross-Functional Collaboration • Work directly with the CEO, Product leadership, and other department heads. • Align technical decisions with business objectives and customer needs. • Support SOC, support teams, and clients for escalations when required. Working Days & Time: Monday to Friday – 10AM to 7PM. WHAT WE OFFER • Opportunities to learn and grow in a professional environment. • Exposure of International market • 5 days working • Friendly work environment • PF benefits • Employee Referral Bonus • Monthly Engagement Activities • Festival Celebrations • Leave Encashment  

Senior Technical Manager

Primary objective: Own engineering teams, architecture, delivery governance and successful execution of product and AI initiatives across DocTutorials.

Location

Hyderabad / Chennai

Employment

Full-time

Experience

10+ years

Role Summary

The Senior Technical Manager combines technical leadership, people management, product delivery and project execution. The role is accountable for team outcomes, engineering quality, timelines, production stability and the disciplined delivery of AI projects.

Key Responsibilities

1. Technology and Architecture Leadership

·       Provide direction for Python FastAPI, React/Next.js, data, cloud and AI architectures.

·       Review solution designs for security, scalability, maintainability, performance and cost.

·       Define engineering standards and resolve complex cross-team technical risks.

·       Remain technically hands-on through architecture reviews, critical code reviews and incident debugging.

2. People and Delivery Management

·       Lead, mentor and develop engineering teams with clear goals and accountability.

·       Own estimation, capacity, execution, dependencies, risks, releases and delivery recovery plans.

·       Conduct regular one-to-ones, performance reviews, coaching and skill-development planning.

·       Work with Product, QA, DevOps and stakeholders to deliver measurable product outcomes.

3. AI Project Execution

·       Assess AI use cases for feasibility, data readiness, risk, cost and measurable value.

·       Lead delivery of LLM, RAG, agentic and AI-assisted product initiatives from PoC to production.

·       Ensure evaluation, human validation, security, privacy, observability and rollback controls.

·       Prevent isolated demos, uncontrolled AI usage and dependency on individual engineers or vendors.

Required Skills and Experience

·       10+ years in software engineering with significant technical and people leadership experience.

·       Strong understanding of Python/FastAPI, React/Next.js, APIs, databases, cloud and distributed systems.

·       Proven ownership of product delivery, project planning, risk management and production operations.

·       Experience hiring, mentoring, evaluating and developing engineering teams.

·       Strong knowledge and execution experience across AI/ML, LLM, RAG or agentic-AI projects.

·       Practical understanding of Generative AI, LLMs, RAG, Agentic AI and responsible AI use relevant to the role.

·       Ability to use approved AI tools productively while protecting source code, credentials, learner data and organisational information.

·       Commitment to human review, testing, security validation and traceability for AI-assisted outputs.

Good-to-Have Experience

·       EdTech or medical-learning product experience.

·       AWS, Kubernetes, DevSecOps, MLOps or LLMOps.

·       Experience scaling teams and platforms through major transformation.

How Success Will Be Measured

·       Delivery becomes predictable with risks identified early.

·       Engineering quality, security and production stability improve.

·       AI projects progress from validated use cases to reliable production outcomes.

·       Team capability, ownership, engagement and succession strength increase.

·       Work consistently delivers measurable outcomes and business value—not merely completion of assigned tasks or activities.

Expected mindset: Own the outcome, use AI responsibly, communicate risks early and deliver secure, measurable value for DocTutorials and its learners.

Required Experience: 10–15 years (with at least 3–5 years in leadership roles)

● 10–15 years of overall experience in backend engineering, with strong exposure to

Python and/or Golang.

● 3–5 years of experience managing engineering teams.

● Proven experience delivering large-scale, distributed systems in production

environments.

● Strong understanding of microservices, cloud-native architecture, and DevOps

practices.

● Hands-on background in backend engineering (able to guide teams technically, even

if not coding daily).

● Familiarity with CI/CD pipelines, observability, and performance optimization.

● Experience in financial services or high-transaction domains is a plus.

● Experience leading teams that have utilized AI-driven development practices (e.g.,

agentic coding, LLM integration) to improve productivity and innovation is a

significant advantage.

Skills

● Excellent leadership and people management abilities.

● Strong communication and stakeholder management skills.

● Ability to balance technical depth with business priorities.

● Problem-solving mindset with a focus on delivery and impact.

● Passion for building engineering culture and improving developer experience.

We’re on the hunt for a Principal Engineer who loves solving tough problems, mentoring others, and shaping the future of our platform. In this role, you’ll be leading the design and build of scalable systems and integrations across major cybersecurity platforms. Sometimes you’ll be deep in the code, other times you’ll be guiding teams and customers to the right solutions. If you enjoy balancing hands-on work with big-picture thinking, this could be your spot. 

About Us

At Metron Security, we help top cybersecurity companies supercharge their tools through automation and integrations. Our engineers connect and extend platforms like Splunk, IBM QRadar, ServiceNow, CrowdStrike, Cybereason, and many more. We believe in a developer-first culture where creativity, ownership, and continuous learning drive everything we do. 

Why You’ll Love Working Here

• A true developer-first environment where your ideas and technical chops matter.
• Hands-on exposure to 250+ security platforms (yep, really).
• Direct contact with customers so you can see the impact of your work right away.
• A fast-paced, growth-focused culture—but we also respect work-life balance. No weekends, and only occasional evening calls. 

What We’re Looking For 

We’re hoping to meet someone who has both deep technical expertise and natural leadership instincts. You think holistically about systems, enjoy digging into tricky problems, and can guide both teammates and customers to success.

Must-Have Skills

• Solid programming experience across multiple languages (Python, TypeScript, Java, Node.js, Angular, React, C#, C++… we’re language-agnostic and use the best tool for the job).
• Quick at learning new security platforms.
• Proven ability to design and build scalable systems, APIs, and integrations.
• Experience mentoring and leading engineering teams.
• Strong debugging and problem-solving skills in complex environments.
• Organized, reliable, and able to set and meet clear timelines.
• Comfortable working directly with customers to understand needs and design solutions.
• Familiar with cloud platforms (AWS, GCP, or Azure) and security best practices. 

Bonus Points If You

• Have experience building or leading integrations with enterprise security tools.
• Like approaching challenges with a “hacker mindset.” 
• Know your way around Docker, Kubernetes, and cloud deployments. 
• Contribute to open source or share technical insights publicly. 

What You’ll Do

• Be the face of Metron Security with our customers—collaborating on solutions and keeping communication clear.
• Bridge the gap between customers and our dev team, ensuring the right info flows both ways. 
• Mentor and train junior developers, helping them level up. 
• Step in to tackle tough technical problems when the team needs backup.
• Build and document knowledge about security platforms.
• Spot potential roadblocks early and help keep projects on track.

Who You Are

• Strategic thinker who isn’t afraid to roll up their sleeves.
• Clear communicator who collaborates openly.
• Proud of building strong, maintainable solutions that exceed expectations.
• Curious, quick learner, and always exploring new technologies.
• Positive, “let’s figure it out” teammate who lifts others up. 

At Metron Security, we’re all about helping security teams work smarter. If you’re excited to take on big engineering challenges, mentor others, and drive technical vision in a growing company, we’d love to talk.

GEMBA CONCEPTS · TECHNOLOGY DIVISION

 · JOB DESCRIPTION

Technical Delivery Manager – Services LOCATION Bengaluru (Hybrid) ABOUT GEMBA CONCEPTS EXPERIENCE 5–8 years REPORTS TO Chief Technology Officer TYPE Full-time Gemba Concepts helps manufacturers and enterprises improve how their operations run. Our technology division builds and runs Gemba Connect, a suite of enterprise SaaS products spanning warehouse management, logistics, ERP, and applied AI/ML, deployed across 30+ active client accounts in manufacturing, pharma, FMCG and retail.

ABOUT THE ROLE

We're looking for a technical leader to own Gemba's services business end to end: delivery, people, commercials and reporting. You'll run every client implementation and custom development engagement, build and manage the team that delivers them, and be the single point of accountability to clients and leadership for how services perform. You've written production Java code, can read a Spring Boot service and a SQL execution plan, and have since hired, reviewed and led delivery teams. The product roadmap stays with product leadership; everything we deliver to clients runs through you.

WHAT YOU'LL OWN Services business ownership

• Own the health of the services portfolio: delivery, client satisfaction, billing milestones and account growth.

• Run post-sale SOW execution. Ensure milestones are hit and billed on time, and follow up with finance and clients on receivables.

• Grow accounts by converting change requests and enhancements into scoped, priced, billable work.

• Track effort, utilisation and margin by account; act when an engagement turns unprofitable. Delivery

• Run multiple concurrent client implementations, owning scope, timeline, cost and quality.

• Plan and run sprints with Tech Leads: grooming, estimation, capacity planning, reviews and retros.

• Own go-lives (UAT, cutover, data migration, hypercare) and post-go-live support SLAs.

• Maintain RAID logs and delivery dashboards; flag risk early, with a proposed fix. Requirements and change control

• Be the single intake point between consulting teams, clients and engineering; convert requirements into user stories with testable acceptance criteria.

• Baseline scope and run a formal change-request process. Every change is priced in effort, cost and date before it's accepted.

• Make sure what's agreed is documented before it's built. People and hiring • Plan services headcount against the delivery pipeline and run hiring end to end (role definition, interviews, closing) at a high bar.

• Run goal-setting, regular 1:1s and performance reviews for the services team; give input on promotions, compensation and performance plans.

• Grow Tech Leads and senior engineers into people who can own accounts independently.

• Own team retention and morale. Know who's at risk before they resign. Gemba Concepts · Technology Division Page 1GEMBA CONCEPTS · TECHNICAL DELIVERY MANAGER – SERVICES Reporting

• Publish monthly services MIS to leadership: revenue billed, collections, on-time delivery, SLA adherence, utilisation, hiring and attrition.

• Contribute the services section to quarterly board reporting.

• Run monthly or quarterly business reviews with key client stakeholders. Technical oversight

• Work with Tech Leads on design reviews, integrations (ERP, WMS, third-party systems) and non-functional requirements.

• Lead incident triage and root-cause reviews on client escalations; track corrective actions to closure.

• Coordinate with DevOps on environments, CI/CD and release windows.

• Uphold security and compliance controls (e.g., SOC 2) across delivery. Improving how we deliver

• Drive adoption of AI-assisted development and testing tools, and measure whether they actually raise throughput per engineer.

• Tighten estimation accuracy, definition of done and release discipline across the services team. MUST-HAVES

• 5–8 years in software, including 2+ years as a hands-on Java developer and 2+ years in delivery or project management.

• 1+ year leading a team of 5+ directly, including hiring and performance reviews.

• Strong working knowledge of Java and Spring Boot. You can review a PR, understand how a service is structured, and challenge an estimate.

• Solid SQL: schema design, writing and debugging queries, and understanding of indexing, transactions and production issues such as slow queries and connection pool exhaustion (SQL Server/Azure SQL, PostgreSQL or MySQL).

• Hands-on exposure to cloud platforms (Azure preferred, AWS/GCP acceptable).

• Working experience with the commercial side of client engagements: SOWs, milestone billing and change orders. Margin tracking is a plus.

• Track record of delivering enterprise B2B software to external clients across multiple parallel engagements.

• Proficiency with Jira or Azure DevOps, Confluence and Git-based workflows.

• Clear communication. You can present to a client CXO, write a board-ready MIS, and give an engineer hard feedback. GOOD TO HAVE

• Domain experience in manufacturing, supply chain, warehousing, logistics or ERP.

• Background in an IT services firm or the services arm of a product company.

• Familiarity with microservices, REST API design and message queues.

• Experience delivering AI/ML features.

• Exposure to SOC 2 or ISO 27001 audits.

• Certifications (PMP, CSM, PMI-ACP) are welcome but won't substitute for a delivery and team-building track record. WHAT SUCCESS LOOKS LIKE IN YOUR FIRST 6 MONTHS

• 85%+ of implementations go live on the committed date.

• Billing milestones are invoiced on time, and receivables ageing is visibly down. • Every active account has baselined scope, a live RAID log and a change log.

• Services hiring is on plan, with near-zero regretted attrition.

• Leadership gets a monthly services MIS without having to chase it. WHO YOU'LL WORK WITH The services delivery team (engineers, Tech Leads, BAs, QA), product squads, DevOps, consulting teams, finance and client stakeholders.

WHY JOIN Own a real business line with direct access to leadership. Build the team and operating model your way. Work on enterprise products in active growth, including applied AI.

Director of Engineering (AI Solutions & Delivery)

About the Role

We are looking for a Director of Engineering to lead engineering execution and delivery across our enterprise AI solutions. This role combines strong engineering leadership with operational discipline, ensuring AI products move from technical design to production with predictable timelines, high quality, and reliable performance.

You will lead Engineering Managers and Tech Leads, oversee multiple engineering teams, and drive delivery excellence across AI-powered applications and platforms. The focus is on execution, technical quality, and organizational accountability, ensuring teams deliver scalable, production-ready AI systems without compromising reliability or engineering standards.

Key Responsibilities

1. Engineering Delivery & Execution

• Own engineering delivery schedules, translating product roadmaps into achievable sprint plans and release milestones.
• Establish measurable delivery targets, aiming for at least 85% on-time delivery across engineering teams.
• Identify and resolve cross-team dependencies, technical bottlenecks, and resource constraints before they affect delivery.
• Drive engineering process improvements across Agile development, CI/CD, automated testing, and release management.
• Monitor delivery metrics, sprint commitments, and release readiness to maintain predictable execution.

2. AI Quality, Evaluation & Governance

• Establish automated AI evaluation pipelines to measure hallucinations, relevance, groundedness, and contextual accuracy before production releases.
• Define quality benchmarks and evaluation criteria for LLM-powered applications and AI-driven workflows.
• Implement safety mechanisms, validation filters, circuit breakers, and human-in-the-loop fallbacks to manage unpredictable AI outputs.
• Oversee RAG pipelines, vector databases, data ingestion, and retrieval mechanisms to maintain accurate, reliable, and compliant context.
• Reduce production AI quality regressions through continuous evaluation, monitoring, and feedback loops.

3. Architecture, Scalability & Reliability

• Oversee the architecture of distributed systems and cloud-native applications to support scalability, availability, and performance.
• Drive reliability targets, including 99.9% uptime and low time-to-first-token (TTFT) latency for applicable AI applications.
• Partner with Staff and Principal Engineers to design resilient systems, including fallback mechanisms for model API failures, timeouts, and rate limits.
• Establish engineering standards for code reviews, observability, automated integration testing, and security compliance.
• Ensure production systems meet defined service-level objectives (SLOs) and performance benchmarks.

4. Engineering Leadership & Team Development

• Lead and develop Engineering Managers and Tech Leads, establishing clear ownership, accountability, and delivery expectations.
• Build a high-performance engineering culture focused on technical excellence, collaboration, and continuous improvement.
• Partner with Talent Acquisition to attract, assess, and hire strong software engineering and AI talent.
• Align engineering resources with business priorities, delivery commitments, and technical requirements.
• Address performance and execution challenges while maintaining team engagement and engineering quality.

Success Metrics: First 90 Days

First 30 Days

• Assess existing engineering workflows, delivery pipelines, and release processes.
• Establish baseline AI evaluation criteria and identify gaps in production quality.
• Take ownership of engineering delivery across teams and align expectations with Engineering Managers and Tech Leads.

First 60 Days

• Implement automated AI evaluation frameworks and establish measurable quality benchmarks.
• Improve cross-team coordination and resolve key delivery dependencies.
• Establish consistent sprint planning, release cadences, and delivery reporting.

First 90 Days

• Achieve at least 85% sprint commitment completion.
• Demonstrate measurable reductions in production AI quality regressions.
• Improve system reliability and stabilize latency against defined performance targets.
• Establish clear accountability and predictable delivery practices across engineering teams.

Qualifications & Requirements

• Experience: 14+ years in software engineering, including at least 5 years managing Engineering Managers or Tech Leads in enterprise or high-growth environments.
• AI/ML Expertise: Hands-on experience delivering AI-powered systems involving LLMs, RAG architectures, vector databases, prompt engineering, or model fine-tuning workflows.
• Engineering Delivery: Proven ability to lead multiple engineering teams and deliver complex technical initiatives from design through production launch.
• System Architecture: Experience with distributed systems, cloud-native backend infrastructure, and scalable APIs across AWS, GCP, or Azure.
• AI Quality & Reliability: Understanding of AI evaluation frameworks, production monitoring, hallucination mitigation, guardrails, and system reliability.
• Delivery Management: Strong experience with Agile methodologies, CI/CD, release planning, and engineering performance metrics.
• Leadership: Ability to establish accountability, manage competing priorities, and deliver against ambitious deadlines without compromising quality or team morale.

What Success Looks Like

The successful candidate will establish predictable engineering delivery, improve the quality and reliability of production AI systems, and build a culture of ownership across engineering teams. They will combine technical judgment with execution-focused leadership to ensure AI solutions are delivered on schedule, operate reliably, and meet enterprise expectations.

If you are passionate about building high-performing engineering teams and delivering enterprise-grade AI solutions at scale, we would like to hear from you.

Role Overview:

Virtana is seeking a Senior Manager, Global DevOps Engineering to lead the global team, platforms, and infrastructure that enable rapid, reliable product delivery. This leader will own DevOps strategy and execution across SaaS (GCP heavy, with presence in AWS and Azure) & on-premises Infrastructure, CI/CD, automation, reliability, security, and developer productivity, while aligning distributed teams and cross-functional stakeholders around measurable business outcomes.

Key Accountabilities:

• Strategy and Execution: Set the global DevOps roadmap and operating model, aligned with product, engineering, and business priorities.
• Global Leadership: Build, lead, and develop a high-performing team across geographies, with clear accountability and consistent engineering practices.
• Cloud and Platform Ownership: Own the architecture, reliability, security, scalability, and cost efficiency of global GCP and hybrid infrastructure.
• Software Delivery: Advance secure, standardized CI/CD, Infrastructure as Code, automation, and self-service capabilities to accelerate delivery and improve quality.
• Operational Excellence: Establish SLOs, observability, incident response, disaster recovery, governance and metrics for critical platforms. Own the global on-call program and serve as the escalation point for major incidents from SaaS Infra/DevOps side.
• Executive Partnership: Align stakeholders on priorities, investments, dependencies, and risk; communicate outcomes and tradeoffs to senior leadership.

Required Qualifications:  

• 15+ years in software engineering, infrastructure, cloud operations, or DevOps, including 5+ years leading senior or management-level teams.
• Proven success in leading global teams across geographies, cultures, and time zones.
• Deep expertise in GCP architecture, security, networking, reliability, and cost governance.
• Demonstrated ownership of enterprise CI/CD, build and release automation, and modern software delivery practices.
• Strong experience with Terraform or equivalent Infrastructure as Code, Kubernetes, containers, observability, SRE, and disaster recovery.
• Track record operating secure, resilient global infrastructure for fast-paced development and release environments.
• Daily hands-on use of AI tools (e.g., Claude) for IaC, CI/CD pipelines and incident response, with a record of driving AI adoption that improves delivery speed and quality.
• Executive-level communication and stakeholder leadership, with the ability to align priorities, resolve tradeoffs, and develop strong leaders.