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Tech Lead

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Hybrid

Tech Lead

Left Right Mind

Tech Lead

Skills

SQL QueriesPythonAIAWSAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Hybrid

Published on:

8 September 2026

What they need


Designation: Tech Lead

Location: Pune (Hybrid)

Experience: 7+ years, including 2+ years leading an engineering team

About the Role

This is a hands-on role. You will spend your time across design discussions, pull requests, and the hard problems that block your team, rather than managing from a distance. It suits an engineer who wants technical ownership and is willing to be accountable for what ships.

What You'll Do

Technical Direction

  • Own the technical design/architecture of features from concept through to release.
  • Break down complex work into a sequence a team can actually deliver.
  • Evaluate tools, libraries, and approaches, and make a clear call rather than leaving options open.

Engineering Quality

  • Set and enforce engineering standards: code review, testing, observability, and security practices.
  • Review pull requests and give feedback that raises the level of the team, not just the code.
  • Keep technical debt visible and negotiate the time to address it.

Leading the Team

  • Lead a team of engineers through design, build, review, and release.
  • Unblock people quickly - pair, prototype, or write the tricky piece yourself when that is the fastest path.
  • Mentor engineers and help them grow into more ownership.

Delivery

  • Work with the team to size work and keep delivery predictable.
  • Run technical planning and refinement; flag risks early rather than at the deadline.
  • Support releases end to end, including what happens after deployment.

Skills We're Looking For

Core Engineering

  • Strong backend development in Python 3.10+ with solid API design (REST, async patterns).
  • Cloud-native development on Azure or AWS - containers, managed services, CI/CD pipelines.
  • Data modelling across relational, document, and vector stores; comfort with SQL beyond the basics.
  • Testing discipline: unit, integration, and the judgement to know how much of each is enough.
  • Git workflow, code review practice, and release management.

AI and LLM Engineering

  • Practical experience building with LLMs - RAG pipelines, agent orchestration, prompt design.
  • Evaluation of non-deterministic systems: defining quality criteria and measuring against them.
  • Understanding of embeddings, retrieval, and the failure modes of each.

Enterprise Concerns

  • Security and access control: authentication, RBAC, secrets management, data boundaries.
  • Observability - logging, tracing, and metrics that make production behaviour explainable.
  • Awareness of deployment constraints in regulated or restricted environments.

Ways of Working

  • Clear technical writing. You can produce a design document or decision record that someone else can act on.
  • Ability to explain a technical trade-off to a non-technical stakeholder without losing the substance.
  • Mentoring and code review skills that lift the people around you.
  • Comfort making decisions with incomplete information, and revisiting them when better information arrives.

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