Top Remote Python Jobs in San Diego, CA

Own and build Node.js/TypeScript backend services that power integrations, importers, queues, and developer-facing OAuth surfaces. Design reliable queue/worker systems (retries, idempotency, backpressure), integrate third-party APIs, collaborate with Django engineers, and repair partial failures to ensure safe, auditable data migrations and integrations.

Own and improve Plane's automated test suite for web and desktop clients: design frameworks, cover hard-to-test scenarios (concurrency, offline/recovery, agent-driven nondeterminism), keep tests fast and reliable, run suites in CI, test cloud and self-hosted environments, and triage failures across teams and community PRs.

Lead technical consultant responsible for full software development lifecycle: estimating, design, implementation, testing, deployment, and support. Serve as technical lead and mentor, translate requirements into technical designs, collaborate with architects and developers, and communicate solutions to technical and non-technical stakeholders.

Build and maintain cloud infrastructure and IaC across environments, improve CI/CD pipelines, manage monitoring/observability and on-call runs, lead incident response and post-mortems, optimize cloud costs, enforce infrastructure security and partner with developers to improve reliability and deployment workflows.

Design, build, and maintain analytics features across a TypeScript/React frontend and Python/PostgreSQL backend. Implement APIs, dashboards, automated tests, troubleshoot production issues, review code, and collaborate with product and design to deliver reliable, product-focused B2B SaaS experiences.

Design, implement, and maintain scalable, fault-tolerant backend services for real-time data synchronization and streaming. Optimize latency, throughput, and reliability, guide multi-region and disaster-recovery architecture, own projects from concept to production, and improve observability, automation, and incident response.

Design, build, and operate scalable backend systems and APIs across a distributed service-oriented architecture. Own features end-to-end, partner with product stakeholders, ship shared infrastructure, and maintain high code quality. Participate in an on-call rotation and collaborate in a distributed North American team to deliver reliable, high-performance user experiences.

Design and deliver scalable backend systems and APIs, own features end-to-end, drive technical direction, collaborate with product stakeholders, build shared infrastructure, and participate in on-call rotations.

Design and scale high-performance Ethernet and InfiniBand fabrics for hyperscale AI training clusters. Develop ROCE transport and congestion-control mechanisms, topology and routing strategies, telemetry and observability, cluster bring-up, benchmarking, tuning, and cross-vendor co-design to enable low-latency, lossless networks at 10k–100k+ GPU scale.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Provision, configure, operate, and maintain systems hardware, software, and infrastructure to support R&D. Troubleshoot networks, manage core services (DNS, DHCP, AD), automate tasks, document processes, follow change management, and collaborate with DevOps and Engineering teams. Occasional short-notice travel for network troubleshooting.

Lead quality strategy for an AI-first platform: define testing standards, metrics, and automation; validate AI models and data pipelines; design API and UI tests; coach teams on shift-left quality and release gates; improve observability and performance practices to ensure scalable, data-driven quality outcomes.

Lead design, scaling, performance tuning, and reliability of PostgreSQL databases for a high-availability SaaS platform. Troubleshoot production incidents, automate administration, maintain security and observability, and mentor engineering teams on query and schema optimization.

Build and maintain backend services and infrastructure to support core ML/AI product features. Design scalable, resilient, high-performance systems, implement production REST APIs, deploy and manage applications (Docker/Kubernetes), and collaborate cross-functionally while coding daily.

Own and modernize end-to-end Workday-to-Talent integrations: design, build, deploy, and operate integrations; define standards; implement transformation logic; ensure observability, reliability, and vendor delivery; document and coach partners.

Design and implement scalable backend and distributed systems for a marketing intelligence platform. Build near-real-time ingestion and processing, scale an incrementality/experimentation product, integrate AI-powered workflows, improve data ingestion/exports and connection-state systems, and contribute frontend components to deliver end-to-end product experiences.

Design, develop, and maintain manufacturing and production test software for programming, calibrating, and verifying products. Integrate with embedded systems and test instruments, implement automated test sequences and traceability, investigate failures, and improve throughput, quality, and yield across factory programming stations and production fixtures.

Contract GPU kernel optimization role: analyze profiler metrics, identify bottlenecks, and improve kernel performance across modern GPU hardware. Implement and modify C++17, Python, and GPU code using CUDA/HIP/shaders, document optimization decisions, and collaborate as a freelance specialist (20+ hrs/week preferred).

Participate in full SDLC building and integrating software for DoD customers. Develop C++/Python systems, curate synthetic geospatial raster data, apply TDD, operate in DevSecOps pipelines, and use containerization and CI/CD for deployment and testing.

Lead frontend platform architecture across web and mobile: design and evolve design systems, component libraries, build tooling, accessibility, internationalization, and developer experience. Partner with backend teams on GraphQL/Python, maintain security and compliance, mentor engineers, drive cross-team initiatives, and deliver scalable, high-quality frontend foundations used by multiple product teams.

As a Founding Engineer, you'll develop disruptive observability products, optimize software stacks, engage with customers, and contribute to company culture.

The Lead Software Engineer will architect and evolve OfficeSpace's AI platform, focusing on full-stack systems, AI features, and mentorship while ensuring performance, reliability, and security.

Define and execute verification plans for block-to-full-chip ASICs using SystemVerilog/UVM. Build testbenches, assertions, constrained-random and directed tests, manage regressions and CI, run simulations, triage failures, close coverage, and support silicon bring-up and post-silicon debug while collaborating across architecture, RTL, DFT, firmware, and physical design teams.

Manage the performance and reliability of photonic integration products, analyze data, support product development, and improve yields through data-driven methods.

As a Coherent Optical System Architect, you will develop simulation environments to guide the design and optimization of Nokia's next-gen coherent MODEMs while collaborating with cross-functional teams.