Top Remote Senior Level Python Jobs in Phoenix, AZ

As a Senior/Staff Software Engineer, you'll build scalable backend systems and integrate APIs, working on complex data processing challenges and leading system architecture. You'll collaborate with cross-functional teams to enhance product offerings while ensuring optimal performance and user data protection.

The Systems Engineer will develop and maintain full stack applications, drive DevOps practices, manage AWS infrastructure, design automation tools, and troubleshoot production issues to ensure system performance and reliability.

As a Lead Software Engineer at Atomic, you will design, develop, and architect frontend applications. You'll collaborate with UX designers and product managers to create customer-facing products while leveraging a cloud-native technology stack, prioritizing financial services and wealth creation.

As a Senior DevOps Engineer, you will lead the design, architecture, and implementation of systems required to operate the Seekr platform, work closely with software development teams, identify operational inefficiencies through automation, and handle deployment-related issues. You will also manage Kubernetes tooling and troubleshoot live systems to enhance reliability and scalability.

As a Senior Software Engineer, you will develop and optimize trading systems and data pipelines while collaborating with finance and research teams. Responsibilities include designing scalable infrastructure, integrating financial assets, ensuring reliability in operations, and mentoring fellow engineers.

As a Senior Software Engineer at Podium, you will develop and deploy AI applications powered by large language models, managing the entire lifecycle of AI agent development. Your role involves rapid prototyping, ensuring AI solutions meet business needs, and maintaining high reliability in production environments, all while driving innovation in a fast-paced atmosphere.

As a Senior Software Engineer for the AI Platform at Descript, you will design and maintain AI infrastructure for machine learning, optimize AI models for audio and video content creation, and collaborate with engineers and data scientists. The role involves deploying models in production while ensuring security protocols are in place.