Top Remote Python Jobs in San Diego, CA

Design, build, and maintain scalable applications, APIs, mobile platforms, booking systems, clinical integrations, and healthcare data systems. Own features end to end, make architectural decisions, improve security and reliability, and contribute to cloud deployment, CI/CD, monitoring, and DevOps. Collaborate with clinical, operations, and patient experience teams to deliver secure digital tools that improve patient care and clinic efficiency.

Develop and optimize Firefox performance across Windows, Android, Linux, and macOS. Write code, tests, prototypes, and tooling; profile and diagnose bottlenecks; improve benchmarks; and lead performance initiatives. Collaborate across engineering teams, educate developers, drive projects to completion, own browser performance areas, and contribute to the team’s technical roadmap.

Build and ship customer-facing transaction features end to end, including APIs, data models, pipelines, integrations, and user interfaces. Collaborate with product and design teams, contribute high-quality code, drive technical discussions, identify risks, and deliver production systems using a modern Python stack.

Leads enterprise solution architecture across applications, infrastructure, data, integrations, and processes. Defines technology blueprints, architecture roadmaps, modernization strategies, governance standards, and transformation plans. Partners with executives, business leaders, product owners, and engineering teams to align technology investments with business objectives. Evaluates emerging technologies and vendors, guides complex programs, manages technical debt, develops business cases, and mentors architects while promoting architecture excellence.

Build and deliver AI-powered healthcare products using React, Node.js, Python, and modern full-stack technologies. Partner with customers, designers, researchers, and product teams to understand workflow needs, design intuitive AI experiences, and own features from ideation through deployment, optimization, and scaling. The role requires strong product instincts, end-to-end software engineering ownership, and experience building production-grade applications.

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Build and maintain large-scale healthcare data platform software using HL7/FHIR, Apache Spark, Python, Scala, Databricks, and cloud technologies. Shape technical roadmaps, architecture, and implementation approaches; collaborate with product and business stakeholders; maintain CI/CD and staging environments; and mentor junior engineers. The role requires deep healthcare data expertise, technical leadership, and experience with modern software engineering and integration practices.

Leads a team responsible for simulation-based verification and validation of autonomous trucks. Defines V&V strategy, scenario coverage, test campaigns, toolchain requirements, and safety-case evidence aligned with automotive standards. Partners with product, systems, safety, engineering, tools teams, and vendors to establish release criteria, identify testing gaps, analyze results, and report risks and progress to leadership. The role also involves team development, simulation scenario management, and advancing autonomous vehicle validation practices.

Build and maintain full-stack software supporting patient-centered healthcare products. Contribute to architecture, technical standards, code reviews, design discussions, and reliable implementation. Collaborate with product managers, designers, and stakeholders, while advocating for privacy, security, and access to care. Mentor engineers, document knowledge, identify technical improvements, and help shape project direction. The role requires backend, database, cloud, and AI development-tool experience in a fully remote environment.

Leads a team of 4–6 senior network engineers while providing hands-on support for complex customer environments. Oversees daily operations, escalations, incident and major incident management, root cause analysis, preventive measures, performance reviews, on-call scheduling, and workload distribution. Troubleshoots and optimizes Cisco, Nexus, Meraki, Palo Alto, Check Point, F5, and SAN technologies, while supporting monitoring, automation, patching, firmware updates, and hardware lifecycle management.

Owns Site Reliability Engineering for a customer-facing SaaS platform across Azure and Azure Government. Responsibilities include monitoring and observability, incident response, root cause analysis, reliability improvements, automation, infrastructure as code, CI/CD, performance optimization, disaster recovery, and operational security. The engineer will define and track SLIs, SLOs, and error budgets, lead post-incident reviews, reduce operational toil, and collaborate with development teams on scalable, reliable platform operations.

Own the architecture, performance, reliability, and technical direction of high-traffic backend services and public APIs supporting search, browse, autocomplete, and recommendations. Lead distributed-systems design, mentor engineers, drive cross-team projects, participate in on-call and incident response, and balance scalability, latency, cost, and API compatibility.

Build full-stack software, backend services, APIs, frontend experiences, and shared integration capabilities supporting AI initiatives across Keeper’s products. Integrate LLMs, agents, and tool-calling workflows into secure production environments while maintaining zero-knowledge principles. Troubleshoot cross-product systems, improve reliability and observability, contribute to architecture and code reviews, automate testing and CI/CD, and collaborate with AI, product, and engineering teams.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Designs and maintains automated testing frameworks for AI-powered applications, APIs, backend services, and distributed systems. Defines test strategies, acceptance criteria, evaluation metrics, tolerances, and quality gates for deterministic and non-deterministic software. Builds regression, integration, API, and end-to-end coverage; evaluates LLMs, agents, prompts, and tool-calling workflows; integrates testing into CI/CD; analyzes failures, telemetry, and logs; reduces flaky tests; and partners with AI, engineering, and product teams on continuous quality practices.

Supports multi-cloud lab infrastructure across AWS, Azure, and Google Cloud using Terraform, Ansible, and GitHub Actions. Assists with infrastructure-as-code modules, CI/CD pipelines, security tool evaluations, agentic automation, client POC engagements, technical documentation, and findings reports under mentorship. The part-time remote internship provides hands-on exposure to cloud infrastructure, DevOps, cybersecurity tooling, and AI-driven evaluation environments.

Own and scale a multi-cloud data platform across AWS and Azure. Manage Apache Airflow, Kubernetes, Terraform, Helm, ArgoCD, CI/CD, observability, big data infrastructure, governance tooling, and FinOps initiatives. Provide end-to-end architectural and operational ownership, improve developer tooling, define platform roadmaps, manage incidents, enforce engineering standards, and mentor data platform engineers.

Designs and implements spacecraft attitude determination and control, guidance, navigation, and control architectures in embedded C++. Performs mission-specific analysis, simulation, requirements definition, sensor-calibration and geolocation pipeline development, anomaly resolution, and software- and hardware-in-the-loop testing. The role supports on-orbit systems and collaborates across spacecraft engineering disciplines. Remote work is available from approved states, with export-control eligibility requirements.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Leads multidisciplinary design, analysis, and optimization for unmanned aircraft, missiles, interceptors, and munitions. Integrates aerodynamics, structures, propulsion, GNC, CAD, CFD, FEA, and trajectory models into automated optimization workflows. Owns MDAO tool architecture, validation, documentation, and development pipelines; conducts trade studies, correlates models with test data, supports proposals, presents design reviews, and mentors engineers. Requires experience taking MDAO from conceptual sizing through flight testing and fielded hardware.

Lead and grow the Database Platform team responsible for PostgreSQL, Neo4j, and future data stores supporting NodeZero at scale. Own data architecture, schema governance, reliability, performance, SLOs, migrations, on-call maturity, and multi-tenant data practices. Partner with engineering, security research, and product teams to define data contracts and prioritize the platform roadmap. Hire and mentor engineers while establishing strong operational and engineering standards.

Leads the design and implementation of secure, compliant AWS environments, including GovCloud, multi-account landing zones, networking, containers, infrastructure as code, CI/CD, and hybrid connectivity. Translates an existing GCP platform into AWS while maintaining security-control parity and supporting FedRAMP, NIST, CMMC, and ATO requirements. The role also troubleshoots complex infrastructure issues, develops technical documentation, supports continuous monitoring and remediation, and mentors engineers while collaborating with customers and cross-functional teams.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

Design and build a scalable, responsive UI; lead frontend architecture and optimization; apply UI/UX best practices; integrate with backend APIs; ensure high web performance and deploy user-facing features.