Top Remote Senior Level Python Jobs

The Solutions Architect will partner with the sales team, engaging in technical discussions and managing relationships with prospects and customers. This role involves configuring the StackHawk scanning engine and facilitating application security testing within CI/CD pipelines to help convert prospects to customers successfully.

As a Staff Full Stack Software Engineer at Tavus, you will implement features for the Tavus platform, drive product development for user-facing web applications, shape engineering practices, and improve technical foundations. Your role involves leading feature development, mentoring, and collaborating in a fast-paced environment.

As a Senior Software Engineer, you will design and implement features for existing and new software products, perform coding, testing, and debugging, and interact with users to define system requirements. You will also complete documentation of installation and maintenance procedures.

The Enterprise DevOps III role involves streamlining the software development lifecycle by improving developer productivity and code quality. The position includes automation of delivery processes, managing CI/CD pipelines, and mentoring junior engineers while collaborating with various teams to enhance operational efficiencies.

As a Full Stack Engineer Tech Lead, you will oversee the complete lifecycle of designing and building enterprise applications in a team of experts. Responsibilities include developing modular architectures, maintaining high-quality code standards, and collaborating with product and data science teams, ensuring security, scalability, and user-friendly design.

As a Senior Software Engineer at Bond, you will lead major initiatives to enhance the platform, collaborate with cross-functional teams, design APIs, build secure and scalable systems, ensure operational excellence, mentor junior engineers, and maintain technical standards to deliver innovative financial solutions.

The Senior Software Engineer will develop user-friendly interfaces for a machine learning and AI cloud platform, implement advanced AI models and workflows, and oversee features from design to deployment. The engineer is expected to build responsive frontend and business-critical services, work with modern technologies, and ensure system availability. Candidates need at least 6 years of frontend and 8 years of service implementation experience.