Top Remote Software Engineer Jobs in San Diego, CA

Lead hands-on development of scalable software, APIs, integrations, automations, and core product features. Architect systems, make technical decisions, ensure code quality, optimize performance and security, and collaborate across Product, Design, Data, and Business teams. Mentor developers, conduct code reviews, shape the technical roadmap, and improve engineering workflows, CI/CD, and architecture. The role also explores AI, automation, and API-first technologies in a fully remote startup environment.

Build and operate Python backend services, REST APIs, clinical data models, and batch or event-driven pipelines. Work with FHIR and HL7 healthcare data to support reliable integrations, reporting, analytics, and AI workflows. Establish data quality, validation, governance, lineage, monitoring, and auditability practices. Lead architectural discussions, review implementations, mentor engineers, and collaborate with clinical, product, analytics, and AI teams.

Design, build, test, deploy, and maintain client-facing applications on enterprise low-code platforms. Develop forms, workflows, approval routing, dashboards, data models, integrations, documentation, and training materials. Participate in Agile ceremonies, two-week sprint delivery, release activities, regression testing, and troubleshooting. Translate business requirements into secure, accessible, maintainable solutions while collaborating with technical and nontechnical stakeholders in a remote team.

Administer and develop SharePoint and Power Platform solutions, including sites, forms, workflows, apps, reports, dashboards, migrations, and automations. Gather requirements, design and test solutions, troubleshoot issues, maintain documentation, provide technical support and user training, and communicate directly with clients. The role requires adherence to governance standards, independent testing, and delivery of customer-focused solutions.

Develop and maintain full-stack applications using Vue 3, Nuxt, JavaScript, Node.js, Firebase, Firestore, and Google Cloud Platform. Build APIs, microservices, integrations with AI and marketing platforms, payment systems, and cloud services. Troubleshoot UI, database, deployment, and API issues; write tests; and collaborate remotely with the CTO and development team. This is a part-time, equity-based startup opportunity requiring approximately 20 hours weekly.

Develop, maintain, and optimize production-grade frontend code for enterprise client websites. Participate in code reviews, documentation, accessibility optimization, performance-focused animation, and agile collaboration with multidisciplinary teams. The role requires delivering polished, scalable web experiences for external clients on fixed deadlines while working independently in a remote environment.

Build and maintain full-stack web features across database models, APIs, services, and user interfaces. Own product workflows from requirements and design through deployment, write production-ready code, collaborate with product and design, improve system reliability, and lead continuous releases. The role requires strong React, TypeScript, and Node.js experience, autonomy, clear communication, and a bias toward execution in a startup environment.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Build and own Placer.ai’s first consumer mobile apps across Android and iOS, including scalable backend services, onboarding, consent and privacy flows, analytics, experimentation, fraud controls, and production reliability. Take the product from prototype through launch and growth, manage app-store submissions, integrate data collection technology, use AI-first development practices, and help hire and mentor the growing engineering team.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.