Top Remote Linux Jobs in San Diego, CA

The Senior Backend Engineer will design and build scalable cloud-native backend systems for real-time monitoring and automation in HVAC operations, owning the entire lifecycle of services and mentoring junior engineers.

Lead platform architecture and implementation for Tamnoon, designing scalable, secure distributed systems and cloud-native services. Build cloud infrastructure with AWS, Kubernetes/EKS, serverless and event-driven patterns, own identity and access solutions, and integrate security and external platforms. Drive technical design reviews, mentor engineers, establish best practices, and collaborate with Product, Security, and Engineering to deliver reliable, production-grade platform capabilities.

Hands-on senior full-stack engineer to design and build a greenfield, HIPAA-compliant healthcare platform. Ship end-to-end features using Python/Django and React/Next.js, integrate AI/agent workflows, implement secure logging, RBAC, and PHI-safe communications, and collaborate with product and operations to improve patient outcomes and scale care.

The Back End Engineer will maintain and enhance various projects, work with product and engineering teams, design REST APIs, and handle cloud technologies while contributing to the vision of Barstool Sports.

Work across frontend and backend to design, build, and ship annotation and review features; implement ingestion, storage, user management, and annotation pipelines; integrate model inference into workflows; optimize performance for large images/videos; design APIs and collaborate with product, operations, and annotators.

Lead the Lifecycle Management team, ensuring high-quality delivery while managing customer escalations and technical decisions with a focus on AI adoption and team development.

As a Senior Systems Administrator, you will manage AWS infrastructure, optimize systems, enforce best practices, lead automation, and mentor junior engineers.

As a Senior Staff Software Engineer, you will lead the design and development of AI-powered products, mentor team members, and architect backend systems using Python and modern frameworks while ensuring code quality and optimizing performance.

Build and ship full-stack features for an AI-powered onboarding platform: design UIs, embeddable components, workflow automations, a compliance rules engine, internationalization, and third-party API integrations while ensuring testability and observability.

Own and maintain the backend stack: build APIs and services in Node.js, manage deployments with Docker/Linux, design scalable REST APIs with Swagger, collaborate with hardware/frontend teams, and prepare sensor datasets for AI/ML pipelines with an eventual path to Lead AI Engineer.