DevOps Engineer

You will bring strong Snowflake and modern data architecture expertise to build scalable, high-performance data pipelines, ensure data quality, manage migrations, and support secure multi-environment deployments. You will work directly on live client engagements alongside consultants and product leaders to scale the data ecosystem across domains and geographies.

You will collaborate across teams to enhance the platform, support client deployments, and build new capabilities based on client needs. Over time, you will also contribute to procurement-focused analyses, strengthen external partnerships, and mentor junior colleagues.

You will be expected to use modern AI-assisted development tools (e.g., Cursor, Claude, GitHub Copilot) in your daily workflow to prototype faster, ship more efficiently, and raise the bar on engineering output.

Source AI is a GenAI-powered strategic category management platform within McKinsey’s Operations practice. It combines internal and external data with McKinsey’s functional and technology expertise to help category managers make better real-time decisions and unlock new opportunities.

The team is based in Gurugram and works closely with consultants and senior leaders serving clients across North America, Europe, Asia, and the Middle East.

There is the opportunity to join at either the Data Engineer I or II level based on your experience.