Senior Backend Software Engineer – Agentic AI Workflows (Go/AWS)

About the role

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Most backend roles touching “AI” mean a chatbot bolted onto a CRUD app. This one is different: the agentic workflows are the product surface.

You'll work on an established enterprise asset-and-metadata platform, building the AI engine that proposes metadata across the active project estate, the automated logic that reassigns or retires ownerless systems, and a live inventory of every agent and MCP server running across production and endpoint environments — all exposed through the platform API.

It's Go on AWS, against a real production codebase with real users. A large part of the job is reading code you didn't write, understanding how it behaves, and then extending, refactoring or decommissioning it without breaking anything.

What you'll own

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• AI-suggested metadata engine — proposing metadata across the active project estate, then tuning it until engineers actually accept the suggestions.
• Automated ownership reassignment and deprecation — logic that finds ownerless or relinquished systems and acts on them safely.
• Agent and MCP inventory — complete coverage across production and endpoint environments, accessible programmatically.
• First-party product inventory and critical-user-journey mapping — making ownership and metadata trustworthy enough to decide on.
• Legacy refactoring and decommissioning — with unit and integration tests covering everything you ship.
• Sprint delivery alongside program and customer teams.

Requirements — check yourself against this list

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You should be able to say yes to essentially all of these

* 5+ years professional backend software engineering

* Go as a working language — you've built and shipped scalable backend services and APIs in it

* PostgreSQL — schema design and real querying

* MongoDB — schema design and real querying

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