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Job Description

Job Title : AI Lead Engineer - Tech Operations


Location : Pune


Experience : 8-12 Years


Work Mode : 5 Days ( Work From Office)


Must Have's :


- Integration and Data Engineering


- Internal Tooling


- Stack Proficiency


- AI Assisted Engineering


- Code Review


Role Overview :


We are seeking a Customer Tech Ops Lead to own the engineering interface between our platform and customers, including customer integrations, onboarding pipelines, internal operations tooling, and production support for customer-facing systems.


This is a hands-on leadership role that combines technical depth with people management. You will lead and develop a small engineering team in India while remaining closely involved in system design, implementation, and operational excellence.


In addition, you will help establish strong engineering standards and practices, bringing a disciplined approach to code quality, documentation, incident management, and operational reliability within a growing team.


Roles and Responsibilities :


- Design, build, and maintain customer data integrations and ETL pipelines


- Lead implementation and technical onboarding for new customers


- Build internal operations tools including workflow automation, ticket triage, and internal portals


- Own production support and participate in on-call for customer-facing systems


- Ensure SLA compliance and maintain high data quality across ingestion pipelines


- Lead and grow a team of 24 engineers over the next 12 months


- Establish strong engineering standards including code reviews, documentation, on-call discipline, and postmortems


Required Skills :


- 812 years of engineering experience with strong hands-on coding skills


- Experience in a scaled tech company or strong engineering organization


- Proven experience building and shipping internal tools and production systems


- Experience hiring and managing engineering teams in India


- Daily use of AI-assisted coding tools such as Claude Code, Cursor, or equivalent


- Comfortable working across multiple technologies with AI assistance (Angular, Python, .NET)


Nice to Have :


- Azure infrastructure experience


- Background in SaaS or B2B enterprise, particularly around customer data integrations


- Analytics or data platform experience pipelines, data modelling, data quality


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