Top Remote Python Jobs in San Diego, CA

Lead and grow a developer experience team responsible for monorepo strategy, CI/CD, build systems, developer environments, and onboarding. Improve engineering velocity, CI reliability, and developer trust; establish standards, adopt AI-assisted workflows, and partner with infra/ML teams to remove friction for large-scale AI research.

The Senior Fullstack Software Engineer will design, implement, and maintain features for Conveyor's SaaS platform, involving both backend and frontend work, while collaborating closely with team members and mentoring juniors.

Build and ship end-to-end features for a restaurant operating system, lead architecture and technical execution, define product roadmap with cross-functional teams, and maintain high-quality CI/CD and productionized systems.

Design, build, and maintain AI-powered B2B SaaS products across frontend, backend, and AI. Own projects end-to-end, collaborate with product and design, ensure maintainability, mentor teammates, and inform roadmap and implementation decisions.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Build and ship backend systems and robust architectures for SMB and enterprise restaurant customers. Drive end-to-end development including planning, CI/CD, and productionization. Collaborate on product roadmap, iterate from user feedback, and contribute to team culture and growth.

Build and maintain backend services and APIs, write unit tests, debug and optimize systems, support migration from Supabase to cloud, improve reliability, and integrate AI/RPA workflows while learning under senior mentorship.

Build and scale a fintech platform across accounting, tax, and banking. Own feature lifecycle from design to deployment, write backend and frontend code, improve infrastructure and reliability, and collaborate with product and design to deliver customer-focused features.

Own backend and AI infrastructure for autonomous trading agents. Build the Go-based agent runtime, execution and data layers, real-time trading systems, deployment platform, model hosting migration, telemetry, CI/CD, monitoring, and incident response. Develop production services primarily in Go, Python, and TypeScript while operating AWS EKS infrastructure. The role requires end-to-end ownership of reliable, low-latency systems managing real-time trading and financially sensitive positions.

Design and operate secure, scalable, highly available infrastructure for a low-latency decentralized exchange and blockchain network. Own infrastructure automation, CI/CD, Kubernetes performance, observability, security, incident response, disaster recovery, cost optimization, and reliability practices. Mentor engineers, document systems, and participate in on-call rotations while supporting high-throughput trading workloads.

Provides remote, onsite, and customer-site technical support for laboratory automation platforms. Manages customer cases, troubleshoots software, hardware, networking, robotic, and database issues, deploys and debugs integration code, performs upgrades and configuration changes, trains customers, collaborates with field and internal teams, and documents resolutions and process improvements.

Supports laboratory automation customers by managing technical cases, troubleshooting software, hardware, networking, and robotics systems, and deploying integration code. Configures databases, performs upgrades and configuration changes, trains customers, collaborates with field service and software teams, documents issues, and drives resolutions. The role is remote with office and customer-site work and requires approximately 30% domestic travel.

Design, develop, test, implement, maintain, and support custom web applications and software solutions involving internet security, content delivery, APIs, and cloud computing. Build new applications and platform capabilities, improve existing functionality, contribute to automated unit, functional, integration, and end-to-end testing, and troubleshoot distributed systems and web services.

Develops, integrates, verifies, and validates software for autonomous unmanned aircraft systems. Leads system-level integration and testing across laboratory, ground, flight, HITL, SITL, and simulator environments; analyzes telemetry and test data, troubleshoots anomalies, documents results, and supports corrective actions. Collaborates across software, systems, controls, avionics, and flight-test teams, mentors engineers, coordinates integration activities, and ensures safety, regulatory, and technical compliance.

Build and own rule evaluation engine components for Shippo’s customer-facing data products. Develop high-throughput Python and FastAPI backend services, event-driven integrations, PostgreSQL data models, and React configuration interfaces. Ship features end-to-end with feature flags, testing, observability, and production validation. Collaborate with Data Science, Analytics Engineering, and Product teams, participate in on-call response, contribute to technical design, and help onboard teammates.

Build and improve distributed data applications powering large-scale audience segmentation and personalized messaging. Own well-scoped features end to end, including design, implementation, testing, deployment, and operation. Collaborate with engineering, product, and design teams while developing expertise in distributed systems, data pipelines, real-time processing, databases, and platform performance.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

Develop and deploy automated system tests for distributed systems, improve testing methodologies, validate test plans and cases, and collaborate with developers and QA teams. The role involves software QA, test automation framework development, root cause analysis, functional, stability, integration, and performance testing, plus solving large-scale systems testing challenges using programming and related internet technologies.

Designs and leads secure, scalable cloud infrastructure architectures across AWS, Azure, and GCP. Responsibilities include cloud migration and modernization, infrastructure automation, CI/CD, platform engineering, governance, security, compliance, observability, reliability, and cost optimization. The role also advises clients and executives, leads architecture workshops, develops cloud adoption strategies, and mentors engineering teams.

Manage AWS cloud infrastructure, CI/CD pipelines, Terraform-based infrastructure, containers, monitoring, and operational automation. Administer Microsoft 365, Entra ID, Intune, Windows, and macOS devices. Support onboarding, offboarding, remote technical issues, identity and access management, IT assets, documentation, security standards, and incident troubleshooting while collaborating with engineering, security, operations, and vendors.

Designs, implements, secures, and supports hybrid enterprise networks across Azure, AWS, on-premises data centers, offices, and remote locations. Responsibilities include cloud connectivity, routing, switching, firewalls, VPNs, monitoring, troubleshooting, Zero Trust controls, high availability, disaster recovery, and Infrastructure as Code automation. The engineer leads migration and modernization initiatives, coordinates with vendors, supports office deployments, documents network environments, participates in on-call support, and mentors junior staff.

Leads and develops software engineers through mentorship, feedback, hiring, and career growth. Partners with product and design to deliver secure, scalable, reliable features; guides architecture and engineering best practices; improves processes, velocity, and execution; and translates customer and business needs into technical roadmaps. The role requires hands-on leadership in a high-growth startup environment and ownership of engineering culture, performance, reliability, and talent development.

Develop data integration, health information exchange, and IRIS application solutions for healthcare and other clients. Responsibilities include designing robust distributed applications, defining project specifications, selecting implementation strategies, collaborating directly with clients, and contributing to large-scale InterSystems IRIS and HealthShare implementations. Strong communication and software development skills are essential, with healthcare IT and healthcare data integration expertise highly valued.

Develop and lead automated testing for software features and major releases on Agile teams. Design object-oriented automation frameworks, automate tests using Python or similar languages, perform white-box, black-box, functional, and performance testing, investigate defects, manage test lab environments, estimate testing efforts, mentor engineers, and report testing status.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.