Top Remote Linux Jobs in San Diego, CA

Design and develop scalable Java backend services and APIs, collaborate with data teams to build data pipelines (Scio/Storm/Spark) on GCP, ensure code quality via TDD and CI, operate high-volume distributed systems, and partner with product, data science, and research to inform ad-product decisions.

The Software Engineer II role involves designing, developing, testing, and maintaining software solutions for meteorological data, focusing on reliability and performance.

Design, build, test, deploy, and support HL7- and API-based laboratory interfaces for federal lab programs. Lead client onboarding, map and validate LIS/EHR data, troubleshoot production interface issues, ensure compliance and data integrity, document interfaces, perform root cause analysis, and mentor junior integration analysts.

Own end-to-end enterprise customer implementations, configure monitoring/RMM and automation, troubleshoot networks and security, script integrations to speed deployments, build repeatable playbooks, and liaise between customers and product teams to drive platform adoption.

Design, implement, and own complex features and services for a large-scale CPM platform. Lead technical design, build modern UIs, design APIs and JSON/XML contracts, drive performance and reliability improvements, mentor engineers, lead code reviews, contribute to CI/CD and production support, and responsibly employ AI-assisted development tools.

Manage a civil engineering division supporting capital projects, plan review, and infrastructure construction/maintenance. Supervise staff, oversee project design and technical reviews, ensure regulatory compliance, coordinate multi‑department projects, perform hydrologic/hydraulic analyses, develop plans using CAD, and represent the department in public forums.

Designs and leads manufacturing process improvement projects using Lean/Six Sigma and engineering best practices. Supports multiple plants, analyzes data, develops standard work, prepares cost justifications, trains staff, and drives OEE, safety, quality, and cost-reduction initiatives.

Design, develop, maintain, and support enterprise .NET applications and Azure-hosted services; troubleshoot legacy systems and data/integration issues; build APIs and SQL Server solutions; work directly with business stakeholders for requirements and validation; prototype and integrate lightweight AI/LLM features and apply AI-assisted tools to improve development, analysis, documentation, and operations.

Develop and support software features per team guidance; analyze requirements, design system specifications, document solutions, follow SDLC, and maintain/upskill using current development tools.

Build and own backend features and scalable data pipelines end-to-end. Design distributed systems, APIs, and data access patterns for analytics and search. Ensure reliability, performance, testing, and operational readiness. Collaborate with PMs and engineers, apply experimentation and AI-assisted workflows, and document systems and best practices.