Senior Software Engineer, AI SDLC Platform
New
F
Fanatics CommerceSoftware platform
Location: Boulder, CO, United States; Workplace Type: RemoteFull-TimeSenior
Salary138,000 - 172,000 USD per year
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Job Details
- Experience
- 5+ years building and running production software
- Required Skills
- PythonGoReactCI/CDLLM
Requirements
- Have 5+ years of experience building and running production software.
- Bring deep expertise in at least one area of a software stack and willingness to work outside it.
- Be strong in Python or Go.
- Have relational database depth in schema design, migrations, and query performance.
- Be comfortable designing APIs and working with containers and CI/CD.
- Have experience shipping production code with LLM coding agents, including scoping tasks, supplying context, critically reviewing results, and deciding when to write code directly.
- Ship tests with every change and be able to identify and explain errors in agent-generated code.
- Have experience operating software in production, including live triage and diagnosing slow endpoints or stuck jobs.
- Have hands-on experience with LLMs in real systems.
- Hold a bachelor's degree in Computer Science or Engineering, or have equivalent practical experience.
Responsibilities
- Partner with program managers and program teams to understand needs, agree on scope, plan work, and set timelines.
- Deliver platform features for Oracle integration, custom ERP development, and Product Lifecycle Management integration programs.
- Build and maintain the knowledge pipeline, using Temporal workflows to ingest content from Zoom, SharePoint, Confluence, and Jira.
- Improve retrieval quality using curated evaluation datasets checked in CI.
- Develop MCP servers that provide agents read-only access to program and knowledge data, with caller identity propagated, access checked, and tool calls audited.
- Maintain the skill framework used to turn approved specifications into tickets and compliance artifacts.
- Build and maintain the React tracking app to provide engineering leaders visibility into delivery and capacity.
- Own features from design through rollout, including stories, component designs, specifications, API and schema contracts, and sequence diagrams.
- Use coding agents for production work and review generated code to the same standard as hand-written code.
- Triage production issues and diagnose root causes such as slow endpoints or stuck jobs.
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