Sr. Software Engineer, Content AI

ABOUT THE ROLE

The Senior Software Engineer acts as the technical lead for an agile team, focusing on the design and development of scalable microservices for Peloton's core features across all platforms (Bike, Tread, Strength, and Digital). The Content AI Team is responsible for training and hosting various models in the domains of Natural Language Processing (NLP) and Automatic Speech Recognition (ASR). This role is highly collaborative, requiring close partnership with Product, Design, and QA throughout the development lifecycle. The candidate will be responsible for designing, developing, testing, deploying, and monitoring microservices that specifically power features like search, voice, and captions, which are crucial for platform expansion and international growth. In addition to technical delivery, excellent communication and engineering skills are essential for providing guidance to junior team members and effectively coordinating with other stakeholders, such as Technical Program Managers (TPM).

YOUR DAILY IMPACT AT PELOTON

• Design, develop and operate business-critical APIs and services with a focus on high availability, low latency, security and scalability
• Mentor junior engineers in the team and communicate effectively with TPM and Product
• Write understandable, well tested code with an eye towards maintainability and scalability
• Architect and build reusable code, libraries, and patterns for use across teams
• Propose, experiment, and implement solutions to scale services while meeting business and product requirements.
• Leverage 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
• Lead technical discussions during architecture meetings, design reviews, and task breakdown
• Identify common patterns as well as develop and foster development of reusable components and standards across teams
• Champion and implement industry best practices such as feature toggles, CI/CD, test automation, logging, and monitoring in order to ensure confidence in our release process
• Mentor and coach engineers through code reviews, pair programming, and technical guidance
• Participate in on-call rotations and lead incident response efforts to maintain system reliability
• Collaborate and partner with cross-functional team members from Product, Design, and QA whilst serving as a domain expert in your area

YOU BRING TO PELOTON

• MS or BS degree in fields such as Computer Science, Engineering or Mathematics
• 6+ years of software development experience building high-performance, highly scalable backend cloud application systems
• Expertise in Kotlin, Python, or similar languages
• Strong experience with Spring Boot, Bottle/Gunicorn, or similar backend web frameworks (JVM or Python)
• Experience with both relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. DynamoDB, Mongo) databases
• Hands-on experience with Elastic Search query optimization and scaling
• Experience with caching systems such as Memcache, Redis
• Experience with request processing such as REST, gRPC, or GraphQL
• Proven ability to work in high growth, fast-paced environments and adapt to change
• Experience with Docker and Kubernetes for containerization and orchestration
• Experience with AWS services (DynamoDB, S3, ECR, IAM, Lambda, SQS) and cloud infrastructure design
• Experience with deployment tooling such as Terraform, GitHub Actions, Jenkins
• Experience with observability and monitoring tools such as Datadog or similar APM solutions
• Strong understanding of API design principles, security best practices, and performance optimization
• Experience with production support, leading incident response, and troubleshooting complex distributed systems
• Experience collaborating with and influencing cross-functional team members from Product, Design, and QA

BONUS

• Experience with building personal voice digital assistants or chatbots
• Experience with building search platforms, personalizing search and discovery
• Worked with automatic speech recognition (ASR)