Top Remote Senior Level Python Jobs in Miami, FL

As a Senior Staff Full-Stack Engineer, you will design and develop features in a full-stack environment, collaborating with product managers and stakeholders. Your role involves addressing business needs, driving continuous improvement, mentoring other engineers, and working on complex data-driven projects.

As a Senior Engineer in Quality Assurance and Testing, you will design and implement test plans, develop automated testing frameworks, and enforce best practices while mentoring team members. Collaborate with stakeholders to enhance software quality, ensure security compliance, and maintain documentation throughout the software development lifecycle.

The AI/ML Software Engineer at Coda will build AI-driven products to solve user problems using language models, enhancing user experience, and collaborating with other teams on product features. They will handle model creation and production as well.

As a Staff Software Engineer, you will collaborate with engineers, design teams, and product owners to develop new features that enhance the experience of small business customers. Your responsibilities include coding, delivering new functionality, and leading the team in an agile environment, while ensuring high-quality output and using data-driven decision-making.

As a Senior DevOps Engineer, you'll manage the infrastructure for cloud platforms and autonomous robots, ensuring smooth deployment and operation while focusing on security, cost optimization, and supporting the software engineering team.

Sunnova is seeking a Senior DevOps Architect with expertise in Amazon/AWS infrastructure and modern DevOps practices to design and implement release pipelines, CI/CD, monitoring, and environment management. The role involves collaborating with various teams to introduce scaled CI/CD and other key DevOps practices across the software development life cycle.

As a Senior Site Reliability Engineer at DataVisor, you will enhance systems reliability and security across cloud infrastructure, automate tasks, and optimize big data platforms. Responsibilities include developing automation pipelines, proactive monitoring systems, and database maintenance, all while collaborating with engineering teams to improve performance.