Top Remote Python Jobs in San Diego, CA

Develops advanced automated testing frameworks and leads test strategies for complex software applications across platforms. Oversees testing efforts, defect tracking, regression testing, and quality improvements while collaborating with developers and DevOps teams on CI/CD automation. Mentors junior staff, evaluates testing tools, supports the software development lifecycle, and applies data-driven insights to improve QA processes.

Design, build, operate, and maintain Grafana’s distributed search and storage systems. Deliver features from ideation through production, ensure reliability and performance, participate in on-call rotations, contribute to open-source projects, and collaborate remotely across teams. The role also involves mentoring colleagues, participating in technical design discussions, understanding customer needs, and continuously improving cloud-based services and engineering practices.

Develop and maintain backend and frontend services for a SaaS cyber-physical systems platform using Python, Go, React, and cloud-native technologies. Investigate production incidents, replicate customer issues in staging, perform root cause analysis, and deliver feature enhancements. Ensure compliance with FedRAMP, CMMC, and GovCloud requirements while collaborating with distributed engineering teams across the US and Israel.

Build and operate Linux and Kubernetes infrastructure for Azure Front Door’s globally distributed edge fleet. Design, implement, validate, and deploy platform capabilities; optimize performance, reliability, scalability, security, and operations; investigate production issues; develop automation and engineering tools; and provide technical guidance through reviews and knowledge sharing.

Own mobile product areas across architecture, implementation, testing, releases, and production operations. Set technical direction for shared mobile architecture supporting multiple branded apps, diagnose device and platform issues, and establish testing, security, privacy, accessibility, performance, and reliability practices. Partner with Product, Design, and QA, lead incident response, manage release and rollback readiness, and mentor engineers while using AI-assisted development responsibly.

Build and maintain scalable production infrastructure, CI/CD pipelines, and cloud platform capabilities. Design infrastructure architecture, automate manual processes, manage Kubernetes-based environments, scale databases and messaging systems, and monitor production services. The role partners with engineering teams across the product lifecycle and uses infrastructure as code, Helm, cloud technologies, and open-source tools to improve reliability, delivery, and developer experience.

Develop incident-response dashboards and SLO-based alerts, improve logging, metrics, tracing, authentication, and infrastructure observability, benchmark cloud storage, review security and network configurations, optimize costs, build application features, create infrastructure-as-code for AWS, GCP, and Azure, and support IAM needs.

Design, build, operate, and maintain large-scale distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features from concept through production, improve reliability and performance, participate in design reviews and on-call rotations, contribute to roadmap decisions, and collaborate remotely with engineers. The role focuses on Go-based cloud services running on Kubernetes across AWS, GCP, and Azure, with observability, DevOps, and customer-focused software development responsibilities.

Design, build, operate, and maintain highly available distributed telemetry systems for Grafana Cloud and open-source projects. Deliver features end to end, improve reliability and performance, review code and designs, manage releases, participate in follow-the-sun on-call rotations, and collaborate remotely with teammates and customers. Work primarily with Go across Kubernetes-based cloud infrastructure and observability systems such as Mimir, Loki, Tempo, and Pyroscope.

Lead the development of Runware's serverless platform by building core systems for AI workload management and providing technical guidance to the team.

Develop and optimize resilient, large-scale cloud services supporting AI training workloads. Design Kubernetes-orchestrated microservices, APIs, job submission abstractions, lifecycle automation, checkpointing, telemetry, and failure recovery systems. Collaborate on distributed systems spanning cloud and on-premises AI clusters, integrating with NVIDIA resiliency infrastructure and HPC platforms. The role requires backend development experience, cloud and container expertise, and familiarity with AI frameworks, schedulers, GPUs, and high-performance computing.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Leads a multidisciplinary engineering team delivering production-ready customer solutions through a Forward Deployed Engineering model. Responsibilities include portfolio and delivery leadership, coaching software engineers, technical program managers, and data scientists, serving as a player-coach, improving engineering practices, and applying responsible AI and LLM capabilities to customer engagements. The role includes customer collaboration, end-to-end solution delivery, and up to 25% travel.

Design, build, and improve scalable backend systems that collect hard-to-access OSINT; build pipelines and ETL for messy data; collaborate with product and mission teams; mentor engineers and ensure reliable data delivery for DoD workflows.

Lead the DevOps team for WWE 2K by defining technical strategy and building reliable development and production infrastructure. Responsibilities include designing CI/CD pipelines, deployment automation, cloud and containerized environments, developer tooling, observability, documentation, and operational standards. The role also requires cross-team collaboration, technical leadership, and improving workflows across a distributed game development studio.

Leads performance engineering across the organization by designing load-testing and data-generation frameworks, defining benchmarks and standards, analyzing application, database, and system behavior, and guiding teams in performance optimization. Builds reusable tooling and best practices using k6, JavaScript, Grafana, and InfluxDB while addressing scalability, latency, throughput, and reliability challenges in distributed cloud-native systems.

Designs and engineers automated internal audit workflows that enable continuous assurance. Responsibilities include re-engineering audit processes, orchestrating AI agents, developing prompt and agent libraries, integrating Power Automate and GRC platforms, automating document and population testing, creating real-time risk dashboards, and ensuring AI governance, privacy, explainability, and human validation. The role requires technical audit transformation experience, LLM orchestration, automation platforms, SQL or Python, data governance, and data warehouse expertise.

Lead as a customer‑embedded principal engineer to design, build, and ship production-grade solutions. Translate business needs into technical approaches, influence senior stakeholders, accelerate delivery in ambiguous environments, and transition work to FDE crews while driving long-term account impact.

Leads software design and development for Windows Core OS services and platforms. Partners with stakeholders to define requirements, identifies dependencies, creates design documents, and mentors engineers in producing maintainable code. Drives cross-product project and release planning, serves as a designated responsible individual, participates in on-call operations, and improves system availability, reliability, observability, efficiency, and performance.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Design and optimize passive and active silicon photonic components from simulation through layout, foundry tapeout, and characterization. Perform electromagnetic and multiphysics simulations, analyze wafer-level measurement data, develop manufacturable designs, and collaborate with layout engineers, system-level PIC designers, and foundry partners. The role focuses on improving optical performance, fabrication tolerance, bandwidth, crosstalk, insertion loss, and power consumption for LiDAR and optical switching applications.

Develops silicon photonic integrated circuit layouts from floorplanning through tapeout. Responsibilities include dense waveguide routing, multilayer optical interconnects, PCell and layout library development, Python-based automation, photonic-electrical integration, physical verification, and collaboration with designers, packaging engineers, and foundry partners.

Build and maintain Java backend services, REST APIs, and full-stack web application features. Develop frontend functionality with modern JavaScript frameworks, use Python for supporting work, and leverage AI coding tools such as Claude Code. Write tests, debug issues, support deployment and maintenance, and collaborate on design decisions, code reviews, and application quality improvements.

Develop and launch scalable full-stack Quora features using Python and React. Collaborate with designers, product managers, engineers, and data scientists to improve user engagement, moderation, creator experiences, and AI-powered content. Use experimentation and data to guide product iterations, contribute across the development lifecycle, and participate in on-call support for reliable service delivery.

Owns the architecture, implementation, monitoring, security, and support of a hybrid enterprise network spanning physical sites, AWS, Azure, and remote users. Leads cloud connectivity modernization, network deployments, troubleshooting, incident response, automation, documentation, vendor relationships, and resilience improvements. Provides technical mentorship and participates in on-call support.