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

Ontrac Solutions Inc; United States; Remote; USD 110,000 - 138,000; Full time

Job summary

Ontrac Solutions Inc is seeking an experienced backend engineer to build an AI-powered engine on a real production codebase using Go and AWS. You will read and extend existing code, refactor safely, and ship scalable APIs across enterprise assets and metadata platforms.

The role emphasizes ownership of data pipelines, automated resource reallocation, and live inventory across production and endpoint environments, with rigorous unit/integration testing and Agile/Scrum delivery.

Qualifications

• 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 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

Responsibilities

• 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

Skills

Go

Backend development

Agile/Scrum

Unit tests

Refactor legacy code

Education

Bachelor’s in Computer Science or related field

Tools

PostgreSQL

MongoDB

AWS

CloudQuery

Job description

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

• 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.

Salary: $80 – $100 / hour