Senior Software Engineer
AI Summary
Senior software engineer focused on backend architecture and AI-driven automation, building scalable APIs and services for high-traffic web experiences.
About this role
PlayOn is looking for a Senior Software Engineer to build and scale systems powering 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 implementation of AI-driven, agentic development workflows.
You’ll focus primarily on backend architecture and delivery, partnering closely with product and engineering teams to apply AI-driven automation that improves flow from product vision through implementation and delivery while increasing speed and software quality.
The outcomes you’ll deliver
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Build, maintain, and improve APIs and services powering public-facing applications
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Deliver performant, reliable backend solutions aligned to product requirements
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Drive backend architecture and API design decisions that improve scalability, resiliency, and maintainability
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Lead modernization efforts, including migrations, framework/runtime upgrades, and technical debt reduction
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Improve site stability through proactive monitoring, incident response, and operational hardening
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Increase engineering efficiency and quality through practical AI-driven workflows and measurable improvements in cycle time, defect reduction, and release confidence
In this role, you can expect to
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Own features end-to-end: architecture and design, implementation, testing, observability, and operational readiness
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Plan and execute backend migrations, platform upgrades, and modernization initiatives with minimal risk
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Optimize and monitor PostgreSQL workloads, including query performance, indexing, and database health trends
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Build and refine agentic workflows integrated with issue tracking, source control, development, CI/CD, and automated testing
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Collaborate with product managers, designers, frontend engineers, system engineers, and SREs to deliver production outcomes
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Troubleshoot complex production issues and improve long-term reliability and maintainability
To thrive in this role, you have
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5+ years of professional software engineering experience, including backend web application development
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Proven hands-on experience implementing AI-driven / agentic software development workflows (beyond basic AI-assisted coding)
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Strong expertise in C# .NET, SQL, REST APIs, backend architecture, and service design
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Hands-on experience with the design, deployment, and operational management of AWS-based solutions
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Demonstrated experience with backend performance tuning, production stability, and operational ownership
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Solid PostgreSQL experience, including query tuning, indexing, and performance monitoring
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Experience with CI/CD pipelines, automated testing, and Git/GitHub workflows
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Ability to work effectively in a collaborative, agile, team-oriented environment
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Bachelor’s in Computer Science or equivalent experience preferred
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Frontend development experience and interest in applying AI-driven automation to frontend workflows
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Proficiency with load testing, observability, and reliability engineering practices
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Familiarity with CDNs such as CloudFront, Akamai, or Fastly
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Experience working on high-traffic public-facing websites
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Knowledge of or interest in sports, sports management, and statistics
