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. Requirements — check yourself against this list 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 • AWS — working knowledge of the services plus their client libraries and APIs • Agentic, AI-driven workflows you have designed, implemented and tuned — suggestion engines, automated decision logic, or assistant interfaces • Asset discovery / ingestion tooling — open-source or commercial (e.g. CloudQuery) for aggregating cloud resources and metadata • Data classification standards, dependency mapping, functional framework mapping • Navigating a large, unfamiliar codebase to refactor or decommission legacy code without regressing existing behaviour • Unit and integration testing for backend components, as standard practice • Agile/Scrum delivery — sprints, stand-ups, retrospectives • Bachelor’s in Computer Science or a related field, or equivalent practical experience — we care about what you’ve built Nice to have — not required • IT asset management, CMDB , or configuration management platforms • Model Context Protocol (MCP) and related agent tooling patterns • Governance, risk or compliance workflows — findings management, risk remediation Logistics • Remote, United States. No relocation. • Contract engagement , starting mid-September 2026 (W2 or 1099 — whichever suits you). • Compensation is competitive; we’ll discuss it openly on the first call. Interested? Drop your resume and we’ll set up a call. If it isn’t the right fit we’ll tell you quickly — and tell you why.