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

About the role 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 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.

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