Top Remote Python Jobs in San Diego, CA

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Develop and ship full-stack web and mobile experiences across Affirm’s consumer app and website. Collaborate with product, design, analytics, and engineering teams to break down projects, make technical decisions, write tested and extensible code, launch scalable APIs, monitor service health, support on-call operations, review code, and participate in team development and interviewing.

Work with the development team to build and debug web applications: write Python backend code, create responsive HTML/CSS/JavaScript frontends, integrate frontend and backend, participate in code reviews and testing, learn frameworks and document progress.

Design, build, test, and maintain backend services and APIs powering the insurance platform. Integrate payments, documents, and data providers, improve system stability, performance, and scalability, mentor team members, and participate in architectural decisions and agile ceremonies.

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.

As a Senior Software Engineer on the Data Platform team, you'll enhance the data infrastructure, develop ETL pipelines, maintain data quality, collaborate across teams, and mentor junior engineers.

As a Fullstack Engineer, you'll design, build, and operate web applications, collaborating with product teams and mentoring peers while ensuring best practices in coding and system architecture.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Lead end-to-end technical integrations with enterprise healthcare customers from pre-sales through production. Scope and deliver architecture, POCs, API integrations, data mappings, and runbooks. Ensure AI/ML features meet regulatory and clinical safety standards, build reusable integration patterns, collaborate cross-functionally, and mentor junior engineers to drive successful go-lives.

Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.

Design, build, operate, and improve cloud infrastructure, deployment systems, observability, developer tooling, and distributed systems. Own infrastructure products end to end, manage systems with Terraform, support scalable AWS and Kubernetes environments, operate Redis/ElastiCache, participate in incident response, improve reliability and performance, and mentor engineers while collaborating across teams.

Owns production reliability for high-throughput, low-latency systems, including observability, SLOs, incident response, capacity planning, infrastructure as code, progressive delivery, chaos testing, and operational tooling. The role requires hands-on software and infrastructure engineering, production Redis/ElastiCache expertise, cloud infrastructure knowledge, security awareness, mentoring, and participation in on-call operations.

Design, develop, integrate, test, and productize perception software for autonomous driving systems. Responsibilities include implementing robust and reusable software components, deploying deep neural network models to embedded real-time platforms, developing verification plans, debugging systems, maintaining documentation, and analyzing real or synthetic benchmark data. The role requires close collaboration with perception engineers and researchers throughout the software development lifecycle.

Develop scalable Java Spring Boot APIs, microservices, React-based interfaces, ETL pipelines, and SQL data solutions. Deploy workloads on AWS, optimize performance, implement monitoring and automation, and collaborate with product, frontend, data, and DevOps teams. The role also contributes to architecture, accessibility, reliability, and data-driven product improvements.

Build and operate full-stack, cloud-native applications for network automation and mission platforms using Python, Go, JavaScript, and TypeScript. Develop APIs, AI agents, generative user interfaces, integrations, and telemetry workflows. Contribute to CI/CD, Infrastructure as Code, containerized deployments, production troubleshooting, security, observability, and architecture. Collaborate across software, cloud, platform, product, and security teams in an ambiguous, mission-focused environment.

Lead hands-on technical delivery for a cross-functional product engineering pod. Design and implement Angular frontends, Python APIs, and cloud-native services while guiding engineers through architecture, code reviews, testing, releases, and production troubleshooting. Translate product requirements into maintainable designs and vertical slices, establish quality and security standards, manage technical debt, and collaborate with Product, QA, BA, and DevSecOps teams. Experience in regulated life sciences, clinical technology, and standards such as CDISC or USDM is preferred.

Build and operate scalable backend services for connected devices, including device connectivity, telemetry ingestion, health monitoring, command and control, and data pipelines. Collaborate with firmware, mobile, and product teams on APIs and workflows. Use AWS, microservices, streaming systems, observability tools, and AI coding agents to deliver reliable features, participate in incident response, and improve automation and engineering practices.

Develop and maintain Medicare claims-processing software in a legacy mainframe environment using COBOL and related technologies. Responsibilities include coding, debugging, unit testing, requirements analysis, defect resolution, software installation, technical documentation, and Agile/Scrum collaboration. The developer will support DME contract operations, deliver moderate-complexity solutions, estimate tasks, and coordinate with team members, clients, vendors, and other organizations.

Build scalable data processing and exploration pipelines, ML infrastructure, and cloud-based applications. Write, test, instrument, and deploy software in Kubernetes environments while contributing to distributed systems and data-driven products. The role focuses on Python, big data technologies, containerization, and systems supporting marketplace intelligence.

Lead modernization of a 30-year-old Store Management System by reverse engineering EZC file-based platforms, migrating data and applications to PostgreSQL, and developing enterprise C/C++ software. Responsibilities include architecture, systems integration, APIs, ETL, performance optimization, troubleshooting, documentation, and maintaining business continuity. The role also applies AI-assisted development tools for code analysis, documentation, testing, and modernization while mentoring teams and supporting legacy and modern environments.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.