Senior Software Engineer, Data

Play On is looking for a Senior Software Engineer to develop AI‑powered, data‑driven services and features for web experiences used by millions of high‑school sports fans.

This role is embedded in a product development team and combines strong backend delivery ownership with hands‑on work on the data, APIs, and LLM integrations that power them.

Fähigkeiten, Erfahrung, Qualifikationen, Wenn Sie für diese Stelle geeignet sind, dann bewerben Sie sich noch heute.

You’ll partner closely with product and engineering teams to shape how our sports data is modeled, defined, and exposed to both applications and LLMs, and build the systems that bring those features to our audiences.

• The outcomes you’ll deliver
• Ship AI‑powered, data‑driven features and experiences grounded in Play On’s data
• Build, maintain, and improve APIs and backend services
• Design and evolve data schemas and APIs that make our sports data accessible to both application code and LLM‑driven features
• Drive technical decisions for the features you ship, and contribute to performance and operational health across the application
• Establish eval and observability practices for AI features so regressions are caught in CI rather than by users

Responsibilities

• Develop modern backend services using C# . NET, Python, SQL, AWS, and Snowflake
• Build LLM‑powered features against Play On’s data, connecting models to Postgres, Snowflake, and internal APIs via retrieval, tool use, and semantic search
• Model and evolve data schemas so they serve both traditional APIs and AI‑driven access patterns
• Own features end‑to‑end: architecture and design, implementation, testing, observability, and operational readiness
• Plan and execute backend migrations, platform upgrades, and modernization initiatives with minimal risk
• Optimize and monitor Postgre SQL workloads, including query performance, indexing, and database health trends
• Define and maintain eval suites for production AI features (retrieval quality, answer accuracy, and regression detection) wired into CI

Qualifications

• 5+ years of professional software engineering experience, including backend web application development
• Experience building production features backed by LLMs, such as RAG, semantic/vector search, or tool use / function calling
• Hands‑on experience with cloud data warehouses (Snowflake or similar)
• Strong expertise in C# . NET, Python, SQL, REST API design, and data modeling
• Working knowledge of AWS for deploying and operating backend services
• Experience building eval frameworks for AI systems, including golden sets, LLM‑as‑judge, and regression detection, applied to production AI features and/or agentic dev workflows
• Solid Postgre SQL experience, including schema design, query tuning, and modeling data for both transactional and analytical/AI access patterns
• Experience with CI/CD pipelines, automated testing, and Git/Git Hub workflows
• Ability to work effectively in a collaborative, agile, team‑oriented environment
• Bachelor’s in Computer Science or equivalent experience preferred
• You Might Also Have
• Frontend development experience
• Proficiency with load testing, observability, and reliability engineering practices
• Experience working on high‑traffic public‑facing websites
• Experience with vector databases or vector search
• Experience exposing data and tools to LLMs via function calling, MCP, or agent frameworks
• Knowledge of or interest in sports, sports management, and statistics
• The Benefits We Offer
• Multiple medical insurance plans to choose from
• Dental, vision, life and disability insurance
• Employee Emergency Fund
• Company equity (stock options)
• Open PTO policy
• 401K plan with company match
• Hybrid/flexible work environment

Note: Must be a full‑time employee to participate in the company’s employee health benefit plan. xayajpt Part‑time employees and interns are not eligible to participate.