Senior Backend Software Engineer – Agentic AI Workflows, Go, AWS

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🔥 0 minutes ago

🏄 California, Illinois, +1 more states – Remote

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⏳ Contract/Temporary

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 25%

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Logo of Ontrac Solutions

Ontrac Solutions

11 - 50 employees

Founded 2010

🤖 Artificial Intelligence

💼 Consulting

🤝 B2B

Artificial Intelligence • Consulting • B2B

Ontrac Solutions is an AI-first technology services firm that helps organizations design, implement, and scale AI-driven systems, cloud architectures, and enterprise platform integrations. They provide AI strategy and generative AI implementation (including RAG and intelligent search), cloud migration and optimization (multi-cloud architecture, Kubernetes, Terraform, GitOps, and FinOps), data and integration engineering, CRM/CMS/e-commerce platform development, and embedded technical talent / staff augmentation to move AI from experimentation into production. With innovation hubs in Chicago and Karachi, Ontrac focuses on delivering production-ready AI and cloud solutions that drive measurable business outcomes.

📋 Description

• Build and maintain the AI engine that proposes metadata across the active project estate • Tune AI-generated metadata suggestions until engineers accept them • Develop automated logic to safely reassign ownership or retire ownerless and relinquished systems • Build a complete inventory of agents and MCP servers across production and endpoint environments • Expose agent and MCP inventory programmatically through the platform API • Develop first-party product inventory and critical-user-journey mapping • Refactor and decommission legacy code without breaking existing behaviour • Deliver unit and integration tests for shipped backend components • Participate in sprint delivery alongside program and customer teams

🎯 Requirements

• 5+ years of professional backend software engineering experience • Go as a working language; experience building and shipping scalable backend services and APIs • PostgreSQL schema design and querying • MongoDB schema design and querying • Working knowledge of AWS services, client libraries, and APIs • Experience designing, implementing, and tuning agentic, AI-driven workflows • Experience with asset discovery / ingestion tooling, such as CloudQuery • Knowledge of data classification standards, dependency mapping, and functional framework mapping • Ability to navigate large, unfamiliar codebases and refactor or decommission legacy code without regressing existing behaviour • Unit and integration testing for backend components • Agile/Scrum delivery experience, including sprints, stand-ups, and retrospectives • Bachelor's degree in Computer Science or a related field, or equivalent practical experience • IT asset management, CMDB, or configuration management platforms (nice to have, not required) • Model Context Protocol (MCP) and related agent tooling patterns (nice to have, not required) • Governance, risk, or compliance workflows (nice to have, not required)

🏖️ Benefits

• Contract engagement with W2 or 1099 classification, whichever suits you • Remote work within the United States • No relocation required • Compensation discussed openly on the first call

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