{"id":2458528,"url":"https://alion.io/job/ontrac-solutions-senior-backend-software-engineer-agentic-ai-workflows-goaws-2","title":"Senior Backend Software Engineer – Agentic AI Workflows (Go/AWS)","company":{"id":2634,"name":"Ontrac Solutions","domain":"ontracsolutions.net","url":"https://alion.io/company/ontrac-solutions","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":233000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1105},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Go","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Scrum","optional":false}],"status":"live","first_seen_at":"2026-08-28T16:19:30Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-10-21T00:16:54Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"About the role\nMost backend roles touching “AI” mean a chatbot bolted onto a CRUD app. This one is different: the agentic workflows are the product surface.\nYou’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.\nIt’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.\nWhat you’ll own\nAI-suggested metadata engine - proposing metadata across the active project estate, then tuning it until engineers actually accept the suggestions.\nAutomated ownership reassignment and deprecation - logic that finds ownerless or relinquished systems and acts on them safely.\nAgent and MCP inventory - complete coverage across production and endpoint environments, accessible programmatically.\nFirst-party product inventory and critical-user-journey mapping - making ownership and metadata trustworthy enough to decide on.\nLegacy refactoring and decommissioning - with unit and integration tests covering everything you ship.\nSprint delivery alongside program and customer teams.\nRequirements - check yourself against this list\nYou should be able to say yes to essentially all of these:\n5+ years professional backend software engineering\nGo as a working language - you’ve built and shipped scalable backend services and APIs in it\nPostgreSQL - schema design and real querying\nMongoDB - schema design and real querying\nAWS - working knowledge of the services plus their client libraries and APIs\nAgentic, AI-driven workflows you have designed, implemented and tuned - suggestion engines, automated decision logic, or assistant interfaces\n Asset discovery / ingestion tooling - open-source or commercial (e.g. CloudQuery) for aggregating cloud resources and metadata\nData classification standards, dependency mapping, functional framework mapping\nNavigating a large, unfamiliar codebase to refactor or decommission legacy code without regressing existing behaviour\nUnit and integration testing for backend components, as standard practice\nAgile/Scrum delivery - sprints, stand-ups, retrospectives\nBachelor’s in Computer Science or a related field, or equivalent practical experience - we care about what you’ve built\nNice to have - not required\nIT asset management, CMDB, or configuration management platforms\n Model Context Protocol (MCP) and related agent tooling patterns\nGovernance, risk or compliance workflows - findings management, risk remediation\nLogistics\nRemote, United States. No relocation.\n Contract engagement, starting mid-September 2026 (W2 or 1099 - whichever suits you).\nCompensation is competitive; we’ll discuss it openly on the first call.\nInterested? Drop your resume and we’ll set up a call. 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