Top Remote Linux Jobs in San Diego, CA

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

Leads hands-on technical escalations for federal HPE Private Cloud Enterprise environments across bare metal, virtualization, Kubernetes, operating systems, networking, and applications. Diagnoses production issues, identifies root causes, writes defect reports, validates patches, improves observability, trains field engineers, develops runbooks, supports DISA STIG compliance, and communicates incident resolutions to customers and engineering teams. Requires U.S. citizenship, Secret clearance eligibility, extensive infrastructure experience, and up to 25% travel.

Administer and optimize on-site Linux HPC environments for federal customers. Responsibilities include system monitoring, software and firmware updates, patching, upgrades, troubleshooting hardware and software issues, managing parallel file systems and applications, documenting procedures, implementing repairs, and escalating complex problems. The role requires customer interaction, technical leadership, knowledge sharing, and support of large-scale HPC systems in a cleared environment.

Provides onsite technical consulting and post-sales support for large-scale Juniper service provider networks. Responsibilities include network design, lab and software validation, implementation planning, troubleshooting, operational procedure development, customer workshops, staff training, and production support. The consultant serves as a Juniper platform subject matter expert, coordinates issue resolution, supports network upgrades, and develops automation and best-practice solutions for routing and switching environments.

Leads technical alignment for Capital One Shopping by maintaining an organization-wide view of engineering work, coordinating enterprise dependencies, securing platform and governance support, presenting progress to senior leadership, and representing architecture to security, risk, compliance, and infrastructure partners. This senior individual-contributor role requires substantial software engineering, solution architecture, cloud, data architecture, and enterprise design expertise.

Provides Microsoft core infrastructure support for managed-services customers in a reactive break/fix environment. Troubleshoots Windows Server, Active Directory, domain controllers, Group Policy, DNS, DHCP, SCCM, endpoint management, Azure, and Microsoft 365 issues. Manages case queues, resolves incidents, documents solutions, communicates with customers, meets SLAs, participates in on-call support, contributes to infrastructure projects, mentors peers, and identifies customer needs.

Installs, customizes, upgrades, patches, maintains, and troubleshoots IBM z/OS and ISV products in managed mainframe environments. Supports disaster recovery, performance optimization, database and infrastructure administration, security, customer incidents, change control, and ServiceNow requests. Plans transitions and technical projects, develops automation scripts and documentation, supports proposals and service scoping, and mentors technical staff while maintaining customer relationships.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve performance, observability, reliability, fault tolerance, and security, and participate in on-call incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews, documentation, and guidance.

Lead site reliability engineering for enterprise infrastructure platforms. Build automated, self-healing systems; define and operationalize SLIs, SLOs, observability, and actionable alerting; own production services, incidents, postmortems, security, performance, and cost. Mentor engineers, lead resiliency reviews, reduce toil, and apply validated enterprise AI capabilities to incident response, SDLC workflows, and operational readiness while maintaining security, traceability, and reliability controls.

Develop, test, deploy, and maintain software applications, including legacy MCDS systems and next-generation CCS 2.0 solutions. Collaborate with architects, product managers, and engineering teams on scalable healthcare technologies. Responsibilities include application troubleshooting, performance optimization, code reviews, documentation, quality assurance, architectural design, and use of approved AI tools to improve development efficiency.

Own the conversion of manual regression suites into automated tests for CAD-based desktop and Revit-integrated applications using T-Plan Robot. Design reusable test frameworks, execute and analyze automated tests, document defects, and maintain CI/CD integrations. Apply AI and LLM tools with validation workflows to improve test authoring and reliability. Collaborate with developers and product owners, track coverage and defect trends, and eventually expand automation frameworks and mentorship across other product teams.

Leads the Metrics Frameworks team responsible for scalable platforms that create, execute, and monitor autonomous vehicle evaluation metrics. Manages software and data engineers, sets technical strategy and roadmaps, oversees reliable data-processing and analysis pipelines, establishes operational metrics and service levels, and partners with engineering stakeholders. The role also drives architecture, testing, observability, incident response, platform modernization, and technical excellence across simulated and real-world driving data systems.