Top Remote Linux Jobs in San Diego, CA

Lead Patreon’s Infrastructure team, owning its roadmap, execution, reliability, observability, incident response, on-call structure, SLAs/SLOs, and production readiness. Manage and grow engineers, including hiring, performance, and career development. Partner with Product Engineering, Security, and Data leaders to improve developer productivity and platform scalability. The role requires extensive engineering and management experience, infrastructure or platform leadership, cloud and Kubernetes expertise, and experience operating highly available production systems.

Build and maintain scalable full-stack features for Roo’s veterinary staffing marketplace. Develop across the React Native mobile app and backend services, contribute to architecture, write unit and end-to-end tests, resolve production issues, improve observability and reliability, and support deployments and CI/CD. Collaborate with product, design, data, DevOps, and engineering teams while mentoring junior engineers and driving technical improvements.

Perform various testing operations including UI, functional, and regression tests. Create test scenarios, document defects, and provide support for PLM applications.

Build and maintain core products and collaborate on larger consulting projects using TypeScript, Python, FastAPI, Next.js, GCP, and generative AI frameworks. The role involves hands-on software development within a rapidly growing, remote team serving Saudi Arabia and the GCC.

Senior QA Engineer responsible for designing and executing test strategies for Amazon Connect contact centers, building manual and automated Playwright/Cypress/Selenium suites across UI, API and serverless backends, validating migrations and production readiness, running UAT, incident triage, and mentoring junior QA engineers.

Builds and maintains automation, integrations, agentic workflows, and tooling for Jamf’s digital customer success programs. Translates defined strategies into tested technology, implements personalized engagement triggers, monitors production systems, evaluates AI tools, and establishes governance for automated customer communications. The role partners with strategy, analytics, data, and customer success teams while documenting reusable solutions and improving reliability, adoption, and customer reach.

Own the multi-year networking software strategy for Lambda’s large-scale AI cloud. Set technical standards, lead architecture and delivery of distributed network services, guide enterprise customers, resolve cross-team technical challenges, and remain hands-on with complex systems. Mentor engineers, participate in hiring and design reviews, operate production services through on-call rotations, and identify improvements to network availability, performance, and customer products.

Build sample applications, proof-of-concept integrations, and developer tools connecting NICE CXone with partner platforms. Document integration patterns, troubleshoot API and authentication issues, support partner onboarding, and translate partner feedback into product and engineering requirements. The role requires software development experience, REST API integration expertise, web technology knowledge, strong debugging and problem-solving skills, and the ability to communicate with technical and non-technical partners.

Build production software while working directly with customers on technical implementations, onboarding, integrations, debugging, and workflow automation. Partner with Sales, Customer Success, Product, and Engineering to translate customer needs into scalable product features. Own engineering projects from requirements through deployment, improve APIs and developer experience, and serve as a trusted technical advisor to enterprise customers.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.