Top Python Jobs in St. Louis, MO

The Full Stack Developer will work on developing mobile applications for federal business functions, participating in the full software development lifecycle. Responsibilities include collaborating with product managers and UI/UX designers to implement features, optimizing applications for performance, and ensuring software quality through testing and debugging.

As Manager of Engineering, you will lead a team of software engineers, ensuring delivery of high-quality products, fostering team growth, and collaborating on process improvements with various departments. You'll track performance metrics and create an innovative work culture while managing remote teams effectively.

The Senior SRE will support global product deployment, provide engineering support, and manage infrastructure monitoring. Responsibilities include maintaining CI/CD tooling, enhancing operational documentation, collaborating with engineering teams, and ensuring security and compliance in production environments.

The Staff Software Engineer will scope and lead technical projects, design and maintain APIs and services, debug production issues, and balance business priorities with user experience. The role requires extensive experience in building B2B or B2C SaaS products.

As a Site Reliability Engineer, you will ensure the stability, resilience, and scale of services through automation and engineering. You'll work collaboratively within a team, taking ownership of tasks, and promoting a culture of innovation while maintaining high standards for quality and performance.

Senior DevOps Engineer responsible for designing and implementing automation pipelines, managing infrastructure, securing production environments, collaborating with Software Engineers, and optimizing costs. Requires 3+ years of DevOps experience, familiarity with Infrastructure as Code tools, Linux/Unix administration, scripting languages, Docker, cloud providers, and DevOps methodologies.

As a Ruby on Rails Engineer, you will develop applications accessing large financial datasets, collaborating with Operations and Product teams to create innovative analytics products using cloud technologies, optimizing performance, and providing production support.