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Open nowPosted 101 days ago

Tech Lead

Wohlig18 open roles

Where
Mumbai
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Your applicationOpen nowTech LeadWohlig · Mumbai

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 101 days ago

The posting

Job Overview

Wohlig is a Google Cloud Partner building AI-first solutions for enterprises across steel, healthcare, pharma, e-commerce, and financial services. Our engagements are rarely cookie-cutter — a multi-agent co-pilot for a large manufacturer, a document intelligence pipeline for a hospital network, a cloud migration for a health-tech platform. The work is hands-on, close to the client, and moves fast.

As a Tech Lead, you own an engagement end to end. That means you're in the architecture discussions, in the code, and in the room with the client. You're the person the team looks to when a design decision needs to be made, and the person the client trusts to tell them what's actually feasible.

This is not a people-management role with a technical title attached. You will write code, review code, and be accountable for what ships.

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.

Nice to Have

  • 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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