Tech Lead
Mumbai · Staff/Principal
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First 72 hours
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Job description
Job Overview
Key Responsibilities
- Own delivery end to end—from discovery and solution design through build, UAT, production rollout, and hypercare. You're accountable for timelines, quality, and the technical decisions along the way.
- Architect solutions on cloud infrastructure (GCP preferred; Azure and AWS experience valued) that hold up under real enterprise constraints—security reviews, on-prem connectivity, data residency, cost.
- Lead a small team of 2–5 engineers. Break down work, unblock people, review PRs, and raise the technical bar around you.
- Engage clients directly. Run technical workshops, present architecture to stakeholders (often non-technical), push back when a requirement doesn't make sense, and translate business problems into scoped technical work.
- Stay with production. Systems you ship are systems you support. You'll triage production issues, own the fix, and feed what you learn back into the architecture.
- Stay ahead of the curve. Our stack changes as the ecosystem does. You should be the kind of person who reads the release notes, gets hands-on with a new tool quickly, and forms a real opinion on whether it belongs in our delivery model.
Required Skills and Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 6–10 years of software engineering experience, including at least 2 years in a Tech Lead or Solution Architect capacity.
- Strong software engineering fundamentals. Python and/or Node.js, clean API design, sensible data modelling.
- Solid cloud depth—compute, networking, IAM, managed data services. GCP (Vertex AI, BigQuery, Cloud Run, GKE) preferred; equivalent depth on Azure or AWS is fine if you're willing to skill up on GCP quickly.
- Hands-on experience building with LLMs—RAG, agentic architectures, evaluation, prompt engineering, and the practical realities of getting these systems reliable enough for production.
- Comfort with containers, CI/CD, and Infrastructure as Code.
- Experience with both SQL and NoSQL data stores, and the judgement to know which one the problem calls for.
- Strong communication and stakeholder management skills with the ability to confidently engage clients and present technical solutions to both technical and non-technical audiences.
- Strong ownership mindset with the ability to proactively resolve ambiguity and drive outcomes.
- Ability to mentor engineers through technical guidance, code reviews, and knowledge sharing.
- Excellent analytical, problem-solving, and decision-making skills.
- Willingness to continuously learn and stay updated with emerging cloud and AI technologies.
- Google Cloud Professional certifications (Architect, ML Engineer, Data Engineer).
- Experience in a consulting or client-services environment.
- Kubernetes and container orchestration in production.
- Exposure to enterprise integration—SAP, ServiceNow, on-prem data platforms, API gateways.
- Observability and production operations experience.
- Open-source contributions or a public body of technical work.
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