Software Engineer, Leaderboard

Software Engineer, Leaderboard

The Leaderboard Engineering team is responsible for the core leaderboard experience when someone takes a Peloton class. The leaderboard shows a person’s real time ranking or presence in the class. It is one of the most heavily used features and serves some of the heaviest traffic within the Peloton system.

Responsibilities

• Develop and improve the in-class leaderboard user experience which include leaderboard for live classes, leaderboard for on-demand classes, leaderboard that shows people’s presence, and filtering on the leaderboard.
• Improve leaderboard performance and reliability by leveraging production monitoring/profiling/tracing and load testing tools to discover bottlenecks and using techniques such as data modeling, query optimization, and caching to address the bottlenecks.
• Evolve the architecture of various components and services in the leaderboard system. Propose, experiment, and implement solutions to scale the leaderboard to hundreds of thousands of concurrent users.
• Achieve on-time delivery without compromising quality.

Qualifications

• Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
• Good understanding of concurrency and threading, operating system internals, and networking.
• Experience scaling large scale web applications. Good understanding of request processing, caching, queuing, data storage, partitioning, and replication. Demonstrated experience leveraging those understandings to solve scaling challenges.
• Proficient in at least one programming language, e.g., Python, Java, Kotlin, Go, C , C.
• Self directed and detail oriented with ability to come up with good design proposals or thorough analysis of production issues.
• Experience in the following areas:

• Request Processing: Restful API endpoint design principles; Load balancing concepts; Communication and RPC protocols such as HTTP, TCP, gRPC.
• Caching: Memcache, Redis
• Relational Database: Postgres, or MySQL
• NoSQL Database: Cassandra, Dynamodb, Mongodb, etc
• Monitoring/Tracing/Profiling: Monitoring tools such as Datadog, Tracing tools such as Zipkin or Datadog APM
• Deploy platforms and tooling: Jenkins, Kubernetes