Top Remote Linux Jobs in San Diego, CA

Lead strategically important software and platform initiatives for Vanta’s Growth organization. Design and build customer-facing SaaS capabilities using TypeScript, React, and Node.js; identify friction through customer research and product analytics; and guide multi-quarter efforts from architecture through adoption. Establish technical direction, coordinate dependencies across teams, coach engineers, and partner with Product, Design, Sales, and Customer Success to improve conversion, activation, time to value, retention, and expansion.

Owns QA for an enterprise Shopify program, including test strategy, storefront and integration testing, API and file-transfer validation, defect triage, stakeholder reporting, and QA team leadership. The role manages test cases and defects in TestRail, Jira, and Confluence, and builds end-to-end automation using tools such as Playwright. It requires strong commerce, systems integration, communication, and AI-assisted QA experience.

Leads architecture, development, integration, and support for automation, monitoring, DevOps, container, cloud, and developer enablement capabilities. Develops Python automation, supports AWS and OpenShift deployments using Terraform, evaluates technology platforms, leads root-cause investigations, establishes operational processes, and provides technical guidance. The role may supervise a small team, mentor employees, and coordinate multiple projects while ensuring solutions are secure, scalable, performant, and supportable.

Lead software quality engineering across teams by building shared automation frameworks, testing standards, and quality strategies. Define reliable parallel testing, synthetic-data controls, PHI safeguards, gating, failure classification, and exploratory testing practices. Set testability and non-functional quality requirements, improve feedback signal and flake management, and guide AI-assisted testing with human oversight. Influence engineering direction, mentor teams, and assess residual risk across complex distributed systems.

Own major fullstack product features from design through launch using TypeScript, React, REST, GraphQL, SQL, and BigQuery. Lead complex, high-impact projects, influence technical direction, collaborate with product and customer teams, optimize dashboard performance, deliver scalable software, document systems, and mentor engineers.

Configure, develop, administer, and support ServiceNow HRSD solutions, including workflows, case management, employee service centers, lifecycle events, knowledge content, catalog items, scripts, automations, reports, and dashboards. Partner with HR, IT, architects, and stakeholders to translate requirements into technical solutions. Support Azure DevOps delivery, testing, releases, governance, employee data management, troubleshooting, documentation, and process improvement using PowerShell, Excel VBA, and Power BI.

Develops, integrates, schedules, and deploys business applications, workflows, reports, and dashboards. Performs data analysis and validation, gathers requirements, models and manages data, supports application systems, monitors production issues, and coordinates technical development initiatives with business and technology teams. The role also administers application servers and maintains technical documentation while providing ongoing system support.

Design, develop, and maintain scalable APIs, backend services, user interfaces, and business applications. The role includes cloud infrastructure and CI/CD optimization using AWS, Docker, and Kubernetes; application security; testing; observability; Agile collaboration; and mentoring junior engineers. The engineer will independently drive solutions from design through production while applying modern system design, database, microservices, and AI-assisted development practices.

Design and review scalable AWS architectures for consumer applications, integrate production-grade AI and LLM workflows, and establish secure infrastructure, deployment, monitoring, reliability, and cost controls. Partner with founders and engineers on prototypes, code and infrastructure reviews, load testing, documentation, and handoff. Deliver architecture assessments, implementation plans, infrastructure code, benchmarks, operational runbooks, and knowledge transfer within agreed project scopes.

Administer and optimize Azure Databricks environments across development, staging, and production. Manage workspaces, clusters, jobs, SQL warehouses, Unity Catalog, permissions, identity integrations, security controls, monitoring, troubleshooting, disaster recovery, and cost efficiency. Partner with data engineering, cybersecurity, compliance, and governance teams to maintain reliable, secure, auditable, and well-documented data analytics infrastructure in a regulated financial services environment.