Top Remote Linux Jobs in San Diego, CA

Build and operate Resend’s scalable AWS platform, infrastructure, tooling, and self-service workflows. Responsibilities include infrastructure as code, platform standards, observability, reliability improvements, incident response, automation, and collaboration with engineers across the company. The role requires expertise in distributed systems, cloud infrastructure, networking, delivery pipelines, and production operations, with opportunities to work on high-throughput systems and developer tooling.

Tests web, API, and batch applications through manual and automated test cases. Documents defects and test results, monitors bug-tracking systems, collaborates with engineers and business analysts, and applies quality assurance methodologies throughout the SDLC. The role requires strong problem-solving, creative thinking, and the ability to assess potential impacts and propose solutions that improve client satisfaction.

Build and automate infrastructure while supporting migration to AWS. Develop internal engineering and AI-agent tooling, architect secure and highly available applications, modernize WordPress systems, troubleshoot complex environments, and provide rotating 24/7 on-call support. The role also requires designing AWS multi-account strategies, developing CI/CD pipelines, applying specification-driven development, monitoring systems, forecasting cloud costs, and supporting scalable web applications.

Develop and maintain cloud-native applications using .NET, Angular, and Azure. Modernize legacy .NET Framework systems, support migration to .NET Core, build RESTful services, and work with Entity Framework, Docker, and Kubernetes. Collaborate cross-functionally in Agile environments, address client needs, and ensure compliance with security, governance, and accessibility standards. This remote role requires occasional travel and eligibility for Public Trust or suitability determination.

Lead modernization and automation of infrastructure, migrate services to AWS serverless, build developer tooling (including AI-agent workflows), maintain WordPress backends, design secure highly available systems, troubleshoot complex issues, and provide rotating 24/7 on-call support.

Leads quality engineering initiatives while remaining hands-on with manual and automated testing across API, web, and Windows desktop applications. Establishes automation standards, develops Java and Python test frameworks, builds Azure DevOps CI/CD pipelines, evaluates AI-assisted testing tools, performs exploratory testing, analyzes failures, and mentors QA engineers. Partners with engineering and product leadership on test strategy, risk assessment, coverage planning, quality metrics, and release readiness.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Build and maintain automation-first test coverage for web applications across E2E user flows and REST APIs. Use AI tools such as Claude Code to accelerate test creation, troubleshoot failures, investigate logs, and support root-cause analysis. Collaborate with engineering and product teams on test planning, champion quality and testability, and develop deep product-domain expertise. The role is fully remote with travel required for offsites.

Build and support Ivanti’s global corporate website and digital experiences across the full web stack. Develop responsive, accessible front-end experiences and C#/.NET applications, CMS components, APIs, integrations, databases, and deployment pipelines. Collaborate with Creative and Marketing, implement analytics and privacy tooling, troubleshoot complex production issues, and manage projects from estimation through launch and support. Use AI coding tools while maintaining quality, security, performance, and maintainability.

Lead design and delivery of enhancements to a next-generation AI agent platform. Own large features and infrastructure, mentor engineers, set technical standards, drive cross-team initiatives, improve reliability and SLOs, and influence product and process decisions to scale systems supporting millions of interactions.