Top Remote Linux Jobs in San Diego, CA

Develop and scale multi-tenant SaaS applications on the AWS platform, collaborating with teams to integrate software and troubleshoot issues.

As a Software & Data Engineer, you will design data pipelines, deploy AI tools, build data warehouses, and integrate systems for clients, ensuring data quality and performance.

Lead Quality Engineer defines and drives quality strategy across web apps, HubSpot workflows, APIs and analytics. Build scalable automation and AI-assisted testing, create regression/smoke/integration/acceptance coverage, troubleshoot flakiness, and collaborate with Product, Design, and Engineering to ensure release readiness.

The Software Engineer (Frontend) at Metabase will develop user-friendly data tools, leveraging React and CSS while ensuring optimal communication and coding practices.

The Senior Backend Engineer will develop financial technology solutions, focusing on transparency in consumer lending through modern API development and data analytics, while collaborating with various teams to enhance product offerings.

The Azure DevOps Engineer will design, build, and scale cloud infrastructure, automate deployments, enhance CI/CD capabilities, and ensure compliance and security for healthcare applications.

Design, build, and maintain scalable web applications for payroll and accounting. Collaborate with engineers and product partners, write tested code, participate in code reviews, contribute to architecture, improve CI/CD and monitoring, support production (including on-call), and communicate progress while continuously learning.

Lead delivery and modernization of Avid's finance technology stack, primarily NetSuite ERP and NSPB. Manage a small team of engineers and finance-systems professionals, oversee integrations with Salesforce, Snowflake, RevPro, and Concur, enforce SDLC and governance, support SOX/audit requirements, and partner with Finance and cross-functional stakeholders to deliver scalable, reliable finance systems and roadmap outcomes.

Build and own the GTM tech stack and integrations, create demo environments seeded with realistic data, embed AI agents into sales workflows, stand up revenue data infrastructure (pipeline, forecasting, attribution), and automate customer service flows. Partner closely with Sales, Marketing, Customer Success, and Product Engineering to measure adoption and impact.

First dedicated QA hire responsible for test planning, building and maintaining automated test suites across a TypeScript+Python stack, integrating tests into CI/CD, running regression and performance tests, identifying and verifying bugs, improving observability, and documenting QA processes.