Top Remote Python Jobs

The Senior Software Engineer will design and implement healthcare data ecosystem solutions, guide and mentor engineers, and own substantial projects while driving innovation. You will collaborate with a remote-first team to develop tools that connect healthcare data securely and improve client outcomes.

The Lead Solutions Architect will tackle complex business problems by developing strategies and delivering technology solutions in the health insurance segment. The role emphasizes collaboration with teams and foster improvements in software and systems engineering focusing on cloud and multicloud solutions.

As a Senior Software Engineer, you'll lead a backend team in developing and maintaining APIs for Jellyvision's products, writing reliable code, solving technical issues, and mentoring junior developers while ensuring adherence to best practices and agile methodologies.

The Senior Software Engineer will provide technical leadership, write expert code, and advocate for effective product solutions. Responsibilities include delivering runbooks, executing post-incident investigations, implementing metrics for observability, and engaging with the Product team to balance system complexity and customer impact. They will also plan projects for team success and architect systems independently, ensuring operational excellence through reliable practices.

Lead the Technology Team in building scalable backend products for compliance solutions. Manage and develop engineers, optimize SQL performance, create and maintain REST APIs, and leverage AWS tools. Advocate for best practices and foster a positive team culture while guiding projects to meet business needs.

As a Senior Software Engineer at PerformLine, you will develop robust APIs, optimize SQL queries, integrate Python applications with Go services, and work in an AWS ecosystem. Your role involves mentoring junior engineers, advocating for best practices, and impacting team morale while facilitating efficient delivery of features in an Agile environment.

The AI Systems Architect will design and implement advanced AI systems, manage machine learning projects, oversee system integrations, and collaborate with teams to align AI initiatives with business goals, all while mentoring others in the field.

The Site Reliability Engineer will design, build, and maintain large-scale data infrastructure and processing systems. Responsibilities include optimizing data integration, ensuring data quality, implementing security measures, collaborating with cross-functional teams, and establishing monitoring mechanisms. The role also involves leveraging devesecops practices and exploring new frameworks and cloud services to enhance data processing capabilities.