Top Remote Linux Jobs in San Diego, CA

Leads Salesforce administration, development, integrations, and multi-cloud roadmap delivery. Builds custom applications and Agentforce solutions, manages data hygiene and security, tracks platform KPIs, and oversees releases and deployments. Translates business requirements into scalable Salesforce solutions, leads multiple technical projects, identifies design risks, improves processes, and supports users. Requires advanced expertise in Apex, LWC, SOQL, AI, data modeling, Salesforce integrations, release management, Agile practices, and executive communication.

Develop and maintain Python-based network automation applications that connect to network devices, collect data, and implement configuration changes. Host and maintain web applications on Linux servers, support client projects, document automation practices, and provide technical expertise. The role also involves client briefings, project support, forecasting, quality compliance, and mentoring junior staff.

Test web applications across requirements, design, implementation, and release. Identify risks early through shift-left testing, manually validate complex features and payment flows, define acceptance criteria and edge cases, review documentation, and create clear bug reports and test documentation. Collaborate with developers, designers, and stakeholders to improve QA processes and product quality.

Own end-to-end solution and product architecture across web, cloud, mobile, integrations, and data platforms. Translate business intent into precise specifications, build reference implementations and high-risk vertical slices, and maintain the technology roadmap. Design scalable APIs, microservices, and partner integrations while applying DevOps, security, HIPAA compliance, and data protection practices. Build and evaluate AI-powered features, including agentic workflows, RAG, tool use, and MCP integrations, using AI coding agents to accelerate delivery.

Own end-to-end development of AI product demos, including React and TypeScript interfaces, streaming chat and agent workspaces, backend-for-frontend services, database schemas, deployment, observability, and on-call. Partner on app-builder tooling, design systems, agent-facing CLI and deployment experiences, accessibility, localization, audit trails, and enterprise readiness. Debug across backend and Kubernetes infrastructure while delivering reliable, AI-native product experiences.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Own and scale React Native mobile applications across multiple custom-branded client apps. Manage features end to end, including requirements, architecture, development, testing, release pipelines, App Store and Google Play submissions, production support, and rollbacks. Debug React Native and native platform issues, contribute to system design and code quality, and collaborate with leadership, clients, and engineering teammates. Help consolidate legacy systems and advance service-based architecture.

Own frontend architecture for multi-tenant applications serving internal, customer, and partner audiences. Build React and TypeScript interfaces, shared component libraries, theming and branding systems, accessible user experiences, and integrations with governed APIs. Establish engineering standards, document technical decisions, navigate open architecture questions, and support workflows ranging from immediate interactions to longer approval processes involving sensitive or regulated data.

Develop and support full-stack web systems, SharePoint intranets, and Power Platform applications integrated with Microsoft 365 services. Build Canvas Apps, SPFx components, workflows, REST API integrations, and CI/CD pipelines. Ensure secure coding, accessibility compliance, testing, documentation, change management, and Agile-DevSecOps practices. Collaborate with federal stakeholders and security personnel in a high-visibility NIH environment while supporting enterprise data integrations and user requests.

Build production full-stack features and quality infrastructure for AI-generated code, including automated testing, evaluation frameworks, CI/CD quality gates, observability, release criteria, and security guardrails. Use AI coding agents while validating correctness, performance, maintainability, and privacy. Develop scalable services for travel and rewards platforms, protect member trust, and promote AI-assisted engineering quality practices across teams.