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

Ontrac Solutions LLC.; Chicago (IL); Hybrid; USD 110.000 - 138.000; Teilzeit

Zusammenfassung

Ontrac Solutions LLC. seeks a Senior Backend Software Engineer to build AI-driven workflows (Go/AWS) for an enterprise asset-and-metadata platform. You will read and extend an existing production codebase, writing scalable services and APIs in Go.

You will own the AI-suggested metadata engine, automated ownership reassignment, and inventory across agents and MCP servers, with strong unit and integration tests and collaborative sprint delivery.

Qualifikationen

• 5+ years of professional backend software engineering.
• Go as a working language with scalable backend services and APIs.
• PostgreSQL schema design and real querying.
• MongoDB schema design and real querying.
• AWS services and client libraries knowledge.
• Experience with agentic AI-driven workflows and decision logic.
• Asset discovery/ingestion tooling experience.
• Ability to navigate a large codebase to refactor safely.
• Unit and integration testing as standard practice.
• Bachelor’s degree or equivalent practical experience.

Aufgaben

• AI-suggested metadata engine for the active project estate.
• Automated ownership reassignment and safe deprecation logic.
• Agent and MCP inventory across production and endpoints.
• First-party product inventory and critical user journey mapping.
• Legacy refactoring and decommissioning with tests.
• Sprint delivery alongside product and customer teams.

Kenntnisse

Go

PostgreSQL

MongoDB

AWS

Unit testing

API design

Backend development

Ausbildung

Bachelor's degree in Computer Science or equivalent

Jobbeschreibung

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

• Contract
• $80 – $100 / hour

Job Openings › 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
• 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
• 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.