Top Remote Linux Jobs in San Diego, CA

Build scalable full-stack automation and AI systems for fraud detection, including intuitive interfaces, distributed systems, APIs, data flows, and infrastructure. Lead projects, collaborate with product and design, review code, develop new fraud-detection features, and deploy reliable software. The role requires strong software engineering fundamentals and experience with Python, Go, or Rust; React; Material UI; AWS; Terraform; SQL; and production systems.

Leads engineering efforts for automated warehouse projects from kickoff through site handover. Reviews technical data, creates approval and assembly drawings, coordinates PE-stamped designs, supports production and installation, sources materials, processes change orders, and collaborates with controls, software, supply chain, sales, vendors, and project management. Provides technical support during commissioning and site work while ensuring safety, regulatory compliance, project budgets, and integration with customer WCS and WES platforms.

Build and operate Kubernetes-based AI/ML infrastructure, including GPU scheduling, multi-tenant isolation, platform services, infrastructure as code, GitOps, CI/CD, observability, and reliability practices. Deploy reproducible platforms in cloud, restricted, and disconnected environments. Develop runbooks, support incident response, contribute to open-source infrastructure projects, and collaborate with security engineers and government stakeholders. The role requires production infrastructure experience, cloud expertise, programming skills, and eligibility for a U.S. security clearance.

Build and own full-stack features across patient, clinician, and operational healthcare products. Responsibilities include architecture, scalable coding, testing, CI/CD, code review, technical discussions, stakeholder collaboration, and mentoring. The role requires daily use of AI coding tools and ownership of projects from ideation through rollout. Experience with healthcare, EHR integrations, regulated domains, or consumer startups is beneficial.

Own ambiguous, cross-team product engineering problems from framing through launch and iteration. Partner with product, design, and data; lead architecture, reliability, performance, and technical decisions across the stack. Influence teams without formal authority, mentor engineers, improve engineering practices, use metrics and experimentation, and apply AI throughout software development. Participate in on-call support.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Lead the architecture, development, testing, and maintenance of scalable backend systems and APIs. Drive technical decisions, code quality, performance optimization, documentation, continuous delivery, and monitoring. Collaborate with product, design, and engineering teams to translate requirements into reliable solutions. Mentor junior engineers, conduct code reviews, resolve complex technical issues, and contribute to agile development and overall technology strategy.

Leads MVB’s enterprise technology strategy, modernization roadmap, architecture, infrastructure, and Banking-as-a-Service platform. Oversees enterprise applications, IT operations, core banking, lending, digital systems, networks, servers, and support functions. Partners with security, risk, compliance, data, and AI leaders to maintain regulatory readiness, resiliency, cybersecurity, and business continuity. Guides cloud migration, legacy transformation, vendor sourcing, fintech partner enablement, technical delivery, organizational development, and technology budgeting while remaining engaged in architecture and critical technical decisions.

Build and improve Go backend services, GraphQL APIs, relational data models, background jobs, and third-party integrations. Write SQL, automated tests, and production fixes while improving reliability and performance through logs and metrics. Collaborate with product, design, mobile, and frontend engineers to ship collector-facing features. The role requires ownership, clear communication, fast learning, and comfort working in a small, rapidly changing startup environment.

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.