Top Software Engineer Jobs in NYC, NY

Join Peloton as a Senior Database Reliability Engineer to work on data protection, automation, observability, and performance insights related to datastores like PostgreSQL, DynamoDB, and more. Lead initiatives, maintain data persistence layer, mentor engineers, and design scalable backend systems.

At Peloton, the Site Reliability Engineer will create tooling and services to simplify infrastructure management for engineers. They will work on scalable and reliable systems, automation, observability, and security solutions. The role involves collaborating with diverse teams and promoting a culture of learning and improvement.

Peloton is seeking a Senior Site Reliability Engineer with a focus on Kubernetes operations to help build and maintain a monitor-able, performant, reliable, and highly-scalable deployment platform. Responsibilities include evangelizing best practices, serving as a domain expert in observability, automating infrastructure, and mentoring engineers. The job entails working with technologies like Kubernetes, AWS, Golang, ArgoCD, Python, and more.

The Machine Learning Engineer at Peloton will be responsible for driving personalization and recommendations for members through the application of AI and ML techniques. They will work on optimizing member engagement and content discovery by collaborating with various teams. The role involves building ML pipelines, researching ML techniques, implementing models, running A/B tests, and deploying ML models.

Staff and manage a team of engineers responsible for developing and improving the customer engagement experience for Peloton Bike or Tread products. Lead team meetings, collaborate with cross-functional teams, establish performance indicators, promote engineering efficiency, and ensure timely delivery without compromising quality.

Lead architecture/design reviews, perform detailed design of fitness equipment components, engineering analysis, coordinate prototype builds, write test plans, mentor team members, use data for decision-making, collaborate with cross-functional partners

Senior Software Engineer role focusing on ML infrastructure and operations for AI/ML teams in the fitness domain. Responsibilities include building and scaling machine learning system infrastructure, implementing scalable solutions, and collaborating with engineers for model development and monitoring.