Top Remote Senior Level Python Jobs in Phoenix, AZ

As a Senior Machine Learning Engineer, you will develop, deploy, and maintain machine learning models and pipelines, collaborate with a team to integrate ML solutions, and optimize performance and scalability of systems while implementing MLOps practices.

As a Senior Machine Learning Engineer, you will lead the development and implementation of machine learning systems focused on integrity and safety. You will collaborate with cross-functional teams, prototype model improvements, maintain production-quality code, and drive business impact through advanced machine learning techniques across various content modalities.

As a Senior Software Engineer, you'll enhance and scale backend services, collaborating with various teams. You'll leverage your expertise in Golang and cloud technologies to build core components for Vimeo's infrastructure, ensuring stability and performance.

As a Senior DevSecOps Engineer, you will optimize the security of cloud infrastructure, ensuring best practices in environments across Azure, AWS, and GCP. Your role involves automating processes with Infrastructure as Code tools like Terraform, monitoring infrastructure security, and offering strategic guidance on reliability and scalability.

The Software Engineer will develop and optimize user interfaces using the Skia Graphics Engine, write maintainable C++ code, troubleshoot multi-platform issues, collaborate with cross-functional teams, and participate in code reviews to enhance the product’s ecosystem. Their focus will be on ensuring performance, scalability, and code quality.

The Senior Genesys DevOps Engineer is responsible for guiding cloud implementation strategies, optimizing Genesys Cloud infrastructure, and leading automation initiatives. The role involves designing monitoring strategies, integrating REST APIs, and driving the adoption of DevOps tools to enhance efficiency and scalability.

As a Senior Site Reliability Engineer, you'll support production environments, develop Docker and Kubernetes infrastructure solutions, manage CI/CD processes, troubleshoot issues, and contribute to production stability improvements. You will work closely with cross-functional teams to enhance the infrastructure and automate deployments.