Top Remote Linux Jobs in San Diego, CA

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.

Leads infrastructure engineering strategy, modernization, project delivery, automation, and operational readiness across hybrid AWS, Azure, on-premises, networking, identity, Microsoft 365, and endpoint platforms. Establishes engineering standards, architecture patterns, security and resilience practices, Infrastructure as Code, CI/CD, monitoring, documentation, and support handoffs. Manages infrastructure projects, vendors, budgets, risks, and executive communications while leading, coaching, and developing an infrastructure engineering team.

Develops, maintains, tests, and supports enterprise applications and integrations within WMATA’s Digital Modernization portfolio. Builds scalable data pipelines and cloud-based solutions using OCI, Azure, Lakehouse architecture, and Autonomous Data Warehouse. Provides technical leadership, resolves complex system problems, manages configuration and version control, performs failure analysis, coordinates projects, prepares technical reports, and supports system reliability, production monitoring, and emergency outages.

Principal Software Engineer responsible for setting engineering standards across Shippo’s data organization. Designs and builds interfaces between application services, ML systems, and data platforms; develops scalable, secure, observable production systems; guides technical architecture through RFCs and design reviews; productionizes analytical and prototype work; advises on ML workflows and agentic AI; and mentors engineers while driving cross-team technical direction.

Develop and support COBOL/CICS payroll applications for a federal government client. Responsibilities include translating system requirements, designing interfaces, integrating system elements, managing DB2 databases, supporting testing and verification, maintaining requirements traceability, and coordinating database development. The role is fully remote and contract-to-hire, with potential Public Trust clearance requirements.

Own and improve CI/CD, build, test, deployment, and release systems for cloud and native software across Windows, macOS, and Linux. Implement branch controls, quality gates, observability, incident improvements, and software supply-chain security. Manage secrets, signing materials, artifact integrity, and release promotion while modernizing workflows. Troubleshoot complex delivery failures, review automation, and mentor engineers. The role supports customer-hosted and multi-tenant SaaS products and collaborates across engineering, QA, security, product, and support.

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

Lead the Data Products engineering pillar owning technical strategy, clinical data ingestion, canonical modeling, and scalability. Manage ingestion pipelines, customer onboarding, data hygiene, observability, and enterprise reporting. Drive AI-augmented SDLC adoption, ensure regulatory compliance (HIPAA, SOC 2), hire and mentor engineering leaders, and partner with product and data science to deliver a stable, scalable clinical data platform that supports multi-customer growth and clinical insight generation.

Design, develop, implement, support, and improve financial-system integrations, databases, reporting solutions, and automated processes. Lead technical financial systems projects from requirements gathering through implementation, focusing on Aderant Expert, SQL Server, SSIS, SSRS, and T-SQL. Collaborate with Finance, IS, vendors, and business stakeholders; troubleshoot complex data issues, optimize database performance, document technical solutions, and support multiple concurrent initiatives.