Top Remote Python Jobs in San Diego, CA

The role involves creating and maintaining documentation for ClickHouse, collaborating with product and engineering teams, and engaging with the developer community to improve the documentation process.

Develop AI/ML-powered features in ClickHouse Cloud, focusing on frontend and API architecture, UI/UX, and integrations with AI systems.

Design and implement advanced Conversational AI solutions while managing technical projects, providing insights, and ensuring customer success.

Lead and manage a high-performing engineering and DevOps team, developing software applications and cloud infrastructure, ensuring reliability and scalability.

Create user-centric API and SDK documentation and programming guides for developer audiences. Collaborate with engineering, product, and integrations teams to produce clear, story-driven API content using style guides, markup languages, and OpenAPI/Swagger specifications.

The Technical Engineer will design and optimize contact flows using Amazon Connect, develop CloudWatch monitoring solutions, and automate log analysis while collaborating with clients on cloud infrastructure and observability.

As a Senior Fullstack Engineer, you'll develop a no-code platform, build UIs and backend services, and improve conversation analysis workflows using AI technologies.

The Senior Solutions Architect will lead software development, optimize CI/CD systems, develop cloud infrastructure solutions, and collaborate across NVIDIA teams.

Design and simulate analog/digital circuits and power delivery networks (die to platform) for processors. Perform block- and system-level simulations, ensure reliability/performance, mentor junior engineers, and collaborate globally to improve netlist and timing quality.

Lead silicon bring-up, validation, and production testing for analog front-end (AFE) development, characterizing high-speed DACs, ADCs, and RF interface. Requires collaboration with cross-functional teams and automated measurement systems using Python.

As a Fullstack Engineer, you will develop and enhance user experiences for members and providers at Thyme Care, collaborating with teams to deliver scalable products.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

Design and optimize Amazon Connect solutions, build contact flows, integrate APIs, and troubleshoot issues for advanced contact center operations.

The Platform Engineer will design, build, and maintain automation frameworks, utilizing Python and Docker, and manage Helm chart deployments in Kubernetes environments.

The Fullstack Application Developer will design, build, and maintain a platform for marketing teams, focusing on both front-end and back-end development while mentoring junior developers.

As a Senior Data Engineer, you'll design data architecture, manage data pipelines, develop secure production code, and collaborate with cross-functional teams to innovate healthcare technology solutions.

Join Bamboo Health as a Cloud Engineer to improve healthcare technology. Responsibilities include building cloud infrastructure, writing infrastructure as code, monitoring platform health, and supporting CI/CD processes.

The AEM Technical Lead will oversee AEM environments, implement CI/CD pipelines, manage cloud services, and guide teams on best practices.

The AEP Engineer will deliver complex projects using Adobe Experience Platform, collaborating across teams to ensure high-quality software and compliance while utilizing AI capabilities.

The Integration Engineer will lead client onboarding for fraud and compliance products, manage integrations, analyze requirements, and support clients throughout the process.

Platform Engineers at Defense Unicorns maintain production cloud environments, implement CI/CD pipelines, and automate security measures, contributing to open source projects and ensuring system reliability and observability.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

Design and develop scalable infrastructure for deep learning libraries, automate build/test processes, and contribute to open-source tools.