Senior Software Engineer- AI SDLC Platform

Fanatics Commerce; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Fanatics Commerce seeks a Senior Software Engineer for the AI SLDC Platform. You will own features end-to-end, coding with agents, and delivering high-impact platform capabilities used across Oracle integrations, ERP development, and product lifecycle programs.

Lead and mentor peers while maintaining a strong emphasis on software quality, reliability, and scalable architecture as part of a fast-moving delivery culture.

Qualifications

• 5+ years building and running production software.
• Strong in Python or Go with database design, migrations and query performance.
• Experience designing APIs and working with containers and CI/CD.
• Experience shipping production code with LLM coding agents and providing context for agents.
• Commitment to quality at speed with tests shipping with every change.
• Experience running live triage and diagnosing slow endpoints or stuck jobs.

Responsibilities

• Partner with program managers to plan scope and timelines.
• Review code and share status with peers.
• Document builds and demos for clear technical communication.
• Deliver platform features with reliable delivery lifecycles.
• Triage production issues and identify root causes.

Skills

Python

Go

API design

Testing

Production software

LLM agents

Production ops

Tools

Docker

CI/CD

Job description

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.

ROLE OVERVIEW

The Senior Software Engineer, AI SLDC Platform joins a small team that runs the software delivery platform behind some of the highest impact projects in Fanatics Commerce. 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.

HOW WILL YOU DRIVE IMPACT

Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes.

Team & Leadership Impact (Build Championship Teams)

• 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

Fan & Customer Impact (Obsessed with Fans)

• 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

Innovation & Problem Solving (Limitless Entrepreneurial Spirit)

• 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

Ownership & Execution (Determined & Relentless Mindset)

• 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

AI & DIGITAL CAPABILITY

We are building a future-ready organization. This role is expected to:

• Apply AI and technology to improve efficiency, quality, and outcomes
• Use data and digital tools to inform decisions and enhance performance
• Demonstrate curiosity and adaptability in adopting new technologies and ways of working
• Contribute to a culture of innovation and continuous improvement

CAPABILITIES & EXPERIENCE YOU BRING

Required Qualifications:

• 5+ years building and running production software, with deep expertise in at least one area of a stack like this one and willingness to work outside it
• Strong in Python or Go, with relational database depth in schema design, migrations, and query performance
• Comfortable designing APIs and working with containers and CI/CD
• Experience shipping production code with LLM coding agents, including scoping tasks so an agent can finish them, supplying the right context, critically reviewing results, and knowing when to write the code yourself
• Commitment to quality at speed: tests ship with every change, and you can identify what an agent got wrong and explain why
• Experience running what you built, including live triage and diagnosing slow endpoints or stuck jobs
• Hands-on ex