Job Description

ABOUT THE ROLE

The backend teams at Peloton help power experiences across our Product portfolio as well as our Mobile applications. We enable our members to discover and take live and on-demand classes across any number of fitness disciplines, compete on the leaderboard, take part in challenges, connect with each other, and much more. We’re looking for strong, passionate senior software engineers to join us in our quest to improve these experiences and build entirely new ones, while scaling our architecture to support many millions of members. We are an AI-forward organization that embraces modern AI tools and techniques to enhance developer productivity and accelerate innovation. We're looking for engineers who are excited about AI and proficient in leveraging it as part of their daily workflow. At Peloton, intelligent and motivated engineers can have a tremendous impact on what we create and how we create it. Help us build the future of fitness! 

YOUR DAILY IMPACT AT PELOTON

• Be a valued member of an autonomous, multi-functional agile team


• Build business-critical services with a focus on high availability, low latency, security, and scalability


• Be a technical leader within the team you work with and within Peloton in general 


• Shape technical architecture and best practices that scale across teams


• Mentor engineers across the team, providing technical guidance and fostering a culture of engineering excellence

YOU BRING TO PELOTON

• 6+ years of experience developing high-performance, highly scalable backend systems


• Hands-on experience with AI and demonstrated proficiency using AI tools (e.g., LLMs, code assistants) to enhance productivity in your day-to-day development work


• Hands-on experience building, testing, deploying, and monitoring services


• Hands-on experience implementing event-driven architectures


• Experience with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Cassandra, Mongo) databases and caching systems (e.g. Memcached, Redis)


• Expertise in Kotlin, Python, or similar languages


• Experience with request processing such as REST, gRPC, or GraphQL


• Familiar with deployment tools/environments such as Kubernetes, Terraform, GitHub Actions, Jenkins, etc. 

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