Sr Software Engineer - Playlist
About The Position
At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. You’ll build and operate the backend systems that power Playlist. This is a senior, hands-on role focused on distributed systems, data modeling, and pragmatic system design—delivering reliable services at scale while keeping the architecture simple and maintainable. You’ll also operate at the edge of what’s possible by leveraging AI (LLMs and agentic tooling) to accelerate delivery, improve quality, and push system capabilities forward.
Requirements
- 8+ years building and operating backend systems for high-traffic and high-reliability products
- Strong system design skills across distributed systems (latency, throughput, durability, backpressure, idempotency, retries, timeouts)
- Deep understanding of data modeling and persistence (relational and/or NoSQL), including tradeoffs around normalization, transactions, and consistency
- Experience designing service-oriented architectures (microservices or modular monoliths), including service-to-service communication patterns
- Solid CS fundamentals and engineering judgment, proficiency in an OO language (e.g., Java/Kotlin/C#), and a solid understanding of SDLC and Agile methodologies
- AI-native builder mindset with strong judgment; understanding of AI tooling such as MCPs, evals, RAG are good to have
- Strong communication and collaboration across functions
Nice To Haves
- AI tooling: Claude Code/ Cursor/ Codex-style coding assistants; MCPs; agent/orchestration frameworks; safety harnesses
- Engineering Practices: automated testing, code reviews, CI/CD, observability, on-call, incident management — with AI-accelerated workflows where appropriate
Responsibilities
- Partner with Product and Design to deliver features from ideation through deployment, iterating based on feedback and outcomes
- Design and ship backend services and APIs end-to-end, owning system design and architecture decisions across service boundaries, data ownership, consistency models, failure modes, and others
- Model and store data thoughtfully: schema design, indexing/partitioning, migrations, and performance tuning
- Promote engineering excellence by driving simplicity, strengthening operational health, and upholding quality through automated testing, code reviews, and monitoring/observability
- Mentor teammates and raise the bar for engineering rigor and clarity, including best practices for responsible AI usage
Benefits
- performance bonus
- benefits
- other applicable incentive compensation plans
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
