Top Remote Python Jobs in San Diego, CA

Lead the technical direction of SaaS Operations, focusing on automation and reliability in cloud environments. Mentor team members, develop CI/CD pipelines, and drive operational improvements across multi-cloud platforms.

The Staff Platform Engineer will lead the architecture, development, and scaling of API-based transaction processing systems, ensuring reliability and performance while mentoring other engineers.

The Senior Implementation Engineer will lead complex technical implementations, manage projects, mentor junior engineers, and ensure client satisfaction during the implementation process.

The Platform Architect designs, integrates, and evolves the NexusOne data platform, ensuring compliance and fostering collaboration across teams.

As a Data Solutions Architect, you'll engage clients, design data solutions, lead projects, and ensure governance and quality in data architecture.

The Computer Programmer manages core system functionality, ensures compliance with security standards, and monitors system performance and security.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

Implement and support DNS and Kubernetes architecture in a private cloud environment, ensuring scalability, resilience, and performance optimization through IaC tools, while collaborating with teams and managing incidents.

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

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.

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.

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.

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

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

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

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

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.

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.

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