Top Remote Python Jobs in San Diego, CA

The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

As a Full-Stack Software Engineer, you'll build user-facing features, optimize GraphQL backend, and develop scalable systems, contributing significantly to the company's growth.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

Design, build, and maintain high-scale data ingestion pipelines. Collaborate with product management to define requirements and deploy resources in cloud data providers.

The Developer Experience Engineer will own and enhance SDKs and open-source projects, build developer tools, and improve the overall developer experience while engaging with customers for feedback.

The Principal Data Engineer will lead the design of data architectures and analytics applications, collaborating with teams to build scalable platforms and improve data quality, while mentoring engineers and driving engineering best practices.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.

As a Founding Software Engineer, you'll design, develop, and maintain robust backend systems, create user-facing AI features, and collaborate with teams to enhance healthcare tools.

The Founding Product Engineer will build and scale product features, enhance engineering productivity, and collaborate with a diverse team to improve healthcare using AI.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

The Test Automation Engineer will develop automated testing frameworks for Esri software, execute tests, manage defects, and ensure compliance with federal standards.

The Machine Learning Engineer will work on sensing and perception algorithms, deploying computer vision algorithms, and collaborating for code testing and evaluation.

Lead and develop a high-performing engineering team for GoDaddy's AI platform. Drive platform excellence, collaborate with teams, and ensure robust software delivery.

As a Senior Data Engineer, you'll design and scale data pipelines, enhance AWS data infrastructure, and ensure data reliability while collaborating across teams.

Develop and optimize embedded Linux-based gateway systems for IoT applications, focusing on firmware design, connectivity, security, and cloud integration.

Design and maintain scalable backend services, develop GraphQL APIs, manage data infrastructure, and support operational excellence in a collaborative environment.

The Senior Software Engineer/DevOps will design and maintain scalable services, develop web applications, manage CI/CD pipelines, provide production support, and mentor junior developers in a high-throughput laboratory environment.

The Senior Site Reliability Engineer will ensure CoderPad's multi-cloud platform is reliable and scalable, manage infrastructure, and improve monitoring and incident response.

Lead and mentor a high-caliber engineering team, focus on custody and staking infrastructure while ensuring reliability, security, and performance in blockchain systems.

The Staff Software Engineer will build and maintain data pipelines, develop orchestration platforms, automate processes, and collaborate with various teams to enhance data systems.

The Senior Data Engineer leads support for Azure Data solutions and Power BI, develops complex ETL processes, mentors junior team members, and communicates with clients to ensure effective data resolution and optimal performance.

Build and improve application and developer infrastructure for a FedRAMP-high US environment: support US-specific hosting/on-call, enhance auth/RBAC, feature-flag tooling, CI/CD, monitoring, and developer experience while collaborating across engineering teams.

Design, implement, and maintain AWS and Azure cloud infrastructure. Ensure security, scalability, high availability, and disaster recovery. Collaborate with development, QA, and operations to optimize cloud-hosted applications and resolve complex infrastructure issues.

Manage and optimize large-scale MySQL and cloud-native databases across multiple AWS regions. Lead MySQL 5.6->8.0.43 migration, ensure high availability, security (PCI DSS), backups/DR, monitoring, cost/performance tuning, and incident response within SLAs while collaborating with Development and CloudOps.

The DevOps Architect focuses on enhancing platform reliability through CI/CD automation, Kubernetes management, and collaboration with SREs for efficient deployments and operational excellence.