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

Ontrac Solutions•Chicago, IL

1d•Remote

About The Position

This role focuses on building the AI engine for an established enterprise asset-and-metadata platform. The AI engine will be responsible for proposing metadata across the active project estate, implementing automated logic for reassigning or retiring ownerless systems, and maintaining a live inventory of agents and MCP servers across production and endpoint environments. The work involves using Go on AWS, interacting with a real production codebase, and understanding, extending, refactoring, or decommissioning existing code without causing regressions. Key responsibilities include developing the AI-suggested metadata engine, creating automated ownership reassignment and deprecation logic, building a comprehensive agent and MCP inventory, mapping first-party product inventory and critical user journeys, refactoring and decommissioning legacy systems with thorough testing, and delivering in an Agile/Scrum environment alongside program and customer teams.

Requirements

5+ years of professional backend software engineering experience.
Proficiency in Go as a working language, with experience building and shipping scalable backend services and APIs.
Experience with PostgreSQL, including schema design and real querying.
Experience with MongoDB, including schema design and real querying.
Working knowledge of AWS services, their client libraries, and APIs.
Experience designing, implementing, and tuning agentic, AI-driven workflows (e.g., suggestion engines, automated decision logic, assistant interfaces).
Experience with asset discovery/ingestion tooling (e.g., CloudQuery) for aggregating cloud resources and metadata.
Understanding of data classification standards, dependency mapping, and functional framework mapping.
Ability to navigate large, unfamiliar codebases to refactor or decommission legacy code without regressing existing behavior.
Experience with unit and integration testing for backend components as a standard practice.
Experience with Agile/Scrum delivery methodologies (sprints, stand-ups, retrospectives).
Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Nice To Haves

Experience with IT asset management, CMDB, or configuration management platforms.
Familiarity with Model Context Protocol (MCP) and related agent tooling patterns.
Experience with governance, risk, or compliance workflows, including findings management and risk remediation.

Responsibilities

Develop and tune the AI-suggested metadata engine to propose and refine metadata for active projects.
Implement automated logic for safely reassigning ownership or deprecating ownerless or relinquished systems.
Build and maintain a complete inventory of agents and MCP servers across production and endpoint environments, accessible programmatically.
Map first-party product inventory and critical user journeys to ensure trustworthy ownership and metadata.
Refactor and decommission legacy code, ensuring comprehensive unit and integration test coverage for all shipped code.
Deliver sprint commitments in collaboration with program and customer teams.