Top Remote Senior Level Python Jobs in Miami, FL

As a Senior MLOps Engineer, you will develop and maintain MLOps infrastructure, collaborate with data scientists to deploy models, and automate CI/CD pipelines. Responsibilities include optimizing workflows, ensuring compliance, and providing technical guidance on best practices in MLOps.

The Senior Cloud Engineer at Rialtic will be responsible for creating and maintaining cloud infrastructure, focusing on AWS and Cloudflare, while developing and automating deployment pipelines. They will collaborate with development teams, handle security concerns, and help with scaling challenges, all within a high-autonomy environment.

As a Senior Software Engineer in Test at KnowBe4, you will develop and implement highly scalable testing frameworks to meet quality, performance, and reliability standards. Responsibilities include developing automated testing software, providing technical direction, defining solutions to complex problems, and acting as a team lead for projects. Minimum qualifications include 5+ years of experience in software engineering and automation, building automation frameworks at scale, implementing REST/GQL test frameworks, and working with various technologies and tools.

The Principal Engineer in Growth Engineering will drive technical strategy and implementation of growth initiatives by developing web experiences for patient acquisition and engagement. Responsibilities include leading engineering projects, mentoring staff, collaborating with cross-functional teams, and ensuring high code quality and operational excellence.

As a Staff Software Engineer at Coursera, you will be responsible for designing, developing, testing, and deploying core service functionalities, collaborating with internal teams for efficient solutions, and mentoring fellow engineers in a distributed, remote-first environment.

As a Software Engineering Manager, you will lead multiple agile teams, driving the development and delivery of new features and applications. Your role includes managing cross-functional teams, contributing to roadmap initiatives, ensuring technical quality, mentoring engineers, and promoting agile practices. You'll prioritize engineering initiatives and maintain collaboration across teams to support project success.

As a Specialist Solutions Architect in Data Engineering, you will guide customers in building big data solutions on Databricks, providing technical leadership and expertise. Responsibilities include architecting data pipelines, assisting in advanced technical sales, training, and contributing to the Databricks community. Proficiency in big data technologies, such as Apache Spark and data engineering practices, is essential.