Top Remote Python Jobs in San Diego, CA

Senior technical leader for SRE driving observability, platform infrastructure, SLIs/SLOs, incident response, automation, and self-service platform capabilities. Shapes reliability strategy, mentors engineers, and ensures production-scale operational excellence.

Remote MES Consultant to lead Siemens Opcenter/Camstar implementations for discrete manufacturing. Responsibilities include requirements elicitation, functional design, project task definition and reporting, troubleshooting, release management across DEV/QA/PROD, testing/validation, end-user training, integration with ERP and automation systems, and identifying security/performance risks.

Own delivery and outcomes for enterprise finance accounts: build reusable semantic finance models, integrate ERP/planning/warehouse sources, reconcile data, run customer sessions with finance teams, and convert implementations into product improvements and templates.

Design, build, and maintain UI, API, and regression test automation; integrate tests into CI/CD; collaborate with developers and DevSecOps; perform defect triage and support audit readiness for federal IT modernization programs.

Design, program, integrate, and deploy industrial robotic solutions (palletizing, picking, goods-to-person) for fulfillment and manufacturing. Work includes robot programming, systems integration with conveyors and vision, simulation, commissioning troubleshooting, cycle-time optimization, and cross-disciplinary collaboration.

Design, implement, and support scalable platform services and internal tools. Automate deployments and CI/CD, define monitoring and incident resolution, provide 24x7 tier-3 production support, document runbooks, monitor capacity, and drive process improvements.

Design and build scalable full-stack applications, develop front-end and back-end features, implement REST APIs, work with SQL/NoSQL databases and CI/CD pipelines, follow testing and Git workflows, and collaborate with cross-functional teams.

Seeking a Software Engineer responsible for designing and developing scalable software solutions, participating in Agile processes, and collaborating with teams.

Lead QA initiatives across the SDLC: design and execute manual and automated tests, perform API and backend testing with SQL validation, manage defect lifecycle, advocate process improvements, and mentor team members to ensure product reliability and release readiness.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Develop and maintain high-performance, scalable web applications using React/Next.js and TypeScript. Collaborate across design, product, and engineering, provide technical feedback, use GraphQL/REST, manage complex client state, and support backend Python and AWS infrastructure. Emphasize scalability, performance, security, and CI/CD containerized deployments while adopting AI-driven automation and agentic workflows.

As a Senior Deployment Engineer, you'll manage the deployment lifecycle of Atolio's enterprise search platform, ensuring smooth, secure, and effective client deployments while collaborating across teams and building automation tools.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

The Mojo Compiler Engineer will design and implement features for the Mojo language within an MLIR-based compiler, optimize performance for AI systems, and enhance the developer experience.

The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.

Build and maintain custom Shopify Plus themes, develop internal tools, manage API integrations, troubleshoot issues, and collaborate on projects for e-commerce operations.

The Founding Data Engineer will design and build scalable data systems, pipelines, and cloud infrastructure to support an AI recruiting platform, working closely with cross-functional teams and taking ownership of data solutions.

As a Founding Staff Software Engineer, you will lead the design and development of robust backend systems and APIs, optimize large-scale data workflows, and mentor a growing engineering team.

The Product Engineer will manage new product introductions, improve product quality, lead test house qualifications, and support product development with various engineering teams.

The Staff Platform Engineer will lead the design and operation of ad-serving platforms, ensure reliability, and mentor teams while implementing automation and observability practices.

Lead end-to-end technical strategy and modernization of iHerb's product catalog platform. Define architecture, data models, APIs, and service boundaries; write production code; drive cross-team technical decisions, mentorship, and AI-driven SDLC standards. Coordinate multi-team efforts, ensure engineering quality, and represent engineering across product, data science, security, and infrastructure.

Lead and hands-on manage the Catalog engineering team, own sprint delivery and architecture, write and ship full‑stack production code using AI-assisted tooling, hire and grow engineers, and drive collaboration with product and design while shaping an AI-driven SDLC.

Own and modernize iHerb's product catalog across backend, React frontend, and relational data. Build end-to-end features, use AI-driven SDLC tools, write automated tests, ensure observability, participate in on-call incident response, and contribute to shared engineering standards.

The Technical Operations Manager will build and maintain AI-assisted internal tools, automate systems across the company's tech stack, and support operational teams in a startup-like environment.