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.