Top Remote Python Jobs in Miami, FL

The Senior Software Engineer will build and maintain the Boreal hosting platform and Moose open-source project, mentor junior team members, and collaborate with product and design teams.

The Senior Data Engineer will design and implement scalable data pipelines, mentor junior engineers, and optimize data processes using Snowflake or Matillion and the Microsoft Data Stack.

The Senior Web Scraping Engineer will design and maintain large-scale web scraping systems, focusing on automation, cloud workflows, and incorporating LLM-based techniques to enhance data extraction quality.

The SDET will ensure quality for cybersecurity features by designing test strategies, building frameworks, and conducting various tests within a remote team setting.

Design, implement, and maintain backend services in Python and Django, manage AWS infrastructure, support CI/CD, and ensure backend security and reliability.

Drive development of AI-powered features, collaborate with cross-functional teams, integrate LLMs, ensure product reliability, and mentor engineers.

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

Design and maintain data integration solutions between internal and external systems, focusing on scalable and reliable cloud-native architectures using AWS services and asynchronous processing.

The role involves developing data-driven applications with a focus on AI integration. Responsibilities include building and maintaining React applications, implementing BI tools, and collaborating with cross-functional teams to deliver insights from various data sources.

As a Senior Fullstack Software Engineer, you will guide architectural decisions, mentor junior developers, handle complex technical challenges, and ensure project alignment across teams using various front-end and back-end technologies.

Develop software for complex mapping and navigation applications for web, cars, and mobile. Collaborate on tasks, ensure quality delivery, and maintain operational excellence.

As a Site Reliability Engineer 2, you will enhance the reliability of the Brokerage-as-a-Service platform, manage technical challenges, and lead automation efforts while participating in on-call rotations for incident resolution.

Lead and mentor the engineering team to build scalable healthcare technology platforms, focusing on software architecture, EHR integrations, and data-driven solutions.

Design and maintain AWS infrastructure using Terraform and Terragrunt, focusing on automation and reliability. Support production systems and improve deployment workflows.

Lead the architecture of a metadata platform at Netflix, focusing on data discovery and governance, mentoring engineers, and driving operational excellence.

You will design and develop distributed systems at scale, collaborating cross-functionally and contributing to open source, with an emphasis on performance and reliability.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

As a Distributed Systems Engineer, you will architect and build scalable data infrastructure and lead cross-functional projects at Netflix.

As an Ads Reliability Engineer, you will ensure the reliability and scalability of Netflix's Ad Suite by designing infrastructure, automating operations, and collaborating across teams to maintain system health and performance.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

The Distributed Systems Engineer will build scalable data infrastructure, enhance data processing systems, and collaborate across teams to leverage data efficiently.

As a Senior Data Engineer, you'll design and maintain data systems, build data pipelines, and collaborate with teams to enable data-driven decisions.

Develop tools and services for Active Directory; implement security policies; collaborate on Microsoft Azure and Google Workspace solutions.

Design and develop robust, scalable software for a cloud-based AI platform. Collaborate with teams, improve platform functionality, and evaluate new technologies.

Develop and maintain front-end and back-end components of AI-driven products, collaborating with teams to enhance user experience and build proof of concept products.