Senior Software Engineer- AI SDLC Platform

Boulder, CO, United States

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties.

At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset.

The Senior Software Engineer, AI SLDC Platform joins a small team that runs the software delivery platform behind some of the largest programs in Fanatics Commerce, including Oracle integration, custom ERP development, and Product Lifecycle Management integration. The platform combines an in-house framework that turns early program ideas into specs and tickets an engineer or coding agent can execute, with the underlying Go and Python services, Temporal workers, knowledge pipeline, retrieval layer, MCP servers, and React app used to track delivery and capacity.

This is a hands‑on role in which you will own features from design through production, use coding agents daily, and take responsibility for what you ship. The Senior Software Engineer, Delivery Platform delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights.

• Partner with program managers and program teams to understand needs, agree on scope, plan the work, and set realistic timelines
• Review code, keep peers current on the status of your work, and help the engineers around you
• Document what you build and share it through demos and clear technical communication

• Deliver platform features that give the Oracle integration, custom ERP development, and Product Lifecycle Management integration programs a dependable delivery lifecycle
• Give engineering leaders reliable visibility into delivery and capacity across many teams and thousands of work items through the React tracking app
• Build capacity and features so that additional programs can adopt the platform with confidence
• Triage production issues quickly and find root causes, such as slow endpoints or stuck jobs

• Build and maintain the knowledge pipeline, using Temporal workflows to pull content from Zoom, SharePoint, Confluence, and Jira into a searchable knowledge base with chunking, embedding, and indexing
• Improve retrieval quality using curated evaluation datasets checked in CI
• Develop MCP (Model Context Protocol) servers that give agents read‑only access to program and knowledge data, with caller identity propagated, access checked, and tool calls audited
• Maintain the skill framework that program teams use to turn approved specs into tickets and compliance artifacts

• Own features from design through rollout: break work into clear stories, design components, and write specs, API and schema contracts, and sequence diagrams
• Make decisions independently, bringing in teammates when their input is needed
• Use coding agents for production work, breaking features into pieces an agent can finish and holding generated code to the same review standard as hand‑written code
• Deliver on commitments and flag delays early