Top Software Engineer Jobs

The Senior Product Lifecycle Management Solutions Architect will define and implement PLM solutions to enhance product development. Responsibilities include leading process improvements, managing BOMs, and facilitating project objectives across teams. The role requires collaboration with manufacturing and supply chain partners and will involve change management and integration processes.

As a Site Reliability Engineer at Peloton, you will create and manage tooling and services for infrastructure, automate processes, and ensure system reliability. Your role will include best practices advocacy, incident retrospectives, and collaboration with various teams to enhance developer experience.

The Senior Software Engineer is responsible for stabilizing and optimizing the core backend application, enabling other engineering teams to develop efficiently. Key duties include driving architectural improvements, ensuring code quality, collaborating on projects, and engaging in technical discussions, alongside implementing innovative solutions to ensure reliability during high traffic periods.

As a Senior Software Engineer at Peloton, you will enhance and operate crucial APIs and services, propose scalable solutions, and provide technical leadership within a multi-functional agile team. Your role includes building high-performance backend cloud systems, implementing microservices and event-driven architectures, and collaborating across teams to address challenges and drive initiatives.

The Senior Software Engineer will develop backend systems for Peloton's e-commerce and subscription platforms, architecting a new subscription platform with microservices, collaborating on design and architecture, mentoring team members, and driving technical excellence across the team.

As a Senior Database Reliability Engineer at Peloton, you will ensure the reliability and performance of the data persistence layer. Responsibilities include maintaining and scaling databases, implementing automation, and mentoring other engineers. You will tackle challenges around data protection, scaling, and observability to enhance developer experience and support the global nature of Peloton's operations.

The Machine Learning Infrastructure Engineer will drive ML infrastructure and operations, collaborating with ML Engineers and Data Scientists to support model development and deployment. Key responsibilities include building scalable infrastructure for model lifecycle management, creating an internal training platform, and deploying data stores for batch pipelines and real-time recommendations.