Top Linux Jobs in San Diego, CA

Leads global developer platform and AI infrastructure capabilities supporting approximately 300 software and data engineers. Responsibilities include platform strategy, high-availability infrastructure, internal IT operations, AI tooling and governance, cost and security controls, enterprise AI adoption, and development of high-performing engineering leadership teams.

Lead MEP engineering for advanced manufacturing infrastructure from concept through commissioning. Design and coordinate electrical distribution, industrial HVAC, process utilities, ventilation, exhaust, and specialized systems. Integrate utilities with manufacturing equipment, manage external engineering and vendor deliverables, support construction and commissioning, resolve technical issues, and develop scalable infrastructure standards focused on reliability, maintainability, efficiency, and lifecycle cost.

Lead DevOps and SRE initiatives focused on Azure SQL Elastic Pools, cloud infrastructure reliability, observability, automation, high availability, disaster recovery, and incident response. Manage scalable Azure or AWS environments, build infrastructure as code and CI/CD pipelines, optimize performance and costs, develop monitoring and remediation solutions, and mentor junior engineers while partnering across development, security, and database teams.

Owns global Windows endpoint management for approximately 50,000 devices, including Intune and SCCM architecture, provisioning, patching, security hardening, compliance, application packaging, and lifecycle management. Leads cloud modernization, PowerShell automation, CIS and Defender for Endpoint initiatives, reporting, governance, and incident response. Coordinates offshore contractors, establishes operational standards, mentors technical staff, and partners with security and business stakeholders to maintain a resilient, compliant endpoint environment.

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Troubleshoot complex customer and internal issues, develop internal SaaS tools, support Product and Engineering teams, manage incidents, monitor alerts, coordinate stakeholders, and participate in an on-call rotation. The role requires programming experience, strong SQL and database skills, observability tooling knowledge, API and SDK familiarity, device administration experience, and excellent communication.

Leads the design, implementation, operation, security, and troubleshooting of enterprise LAN/WAN, data center, cloud, telecommunications, voice, and network infrastructure. Manages incidents, monitoring, automation, vendors, lifecycle changes, documentation, disaster recovery, compliance, and infrastructure projects. Provides technical leadership, trains team members, participates in on-call support, and maintains reliable connectivity across enterprise environments.

Build and maintain AWS infrastructure, infrastructure-as-code, CI/CD pipelines, containerized workloads, and automation across Windows and Linux environments. Manage Kubernetes deployments, monitoring, patching, configuration, security controls, and production serverless architectures. Partner with development and QA teams on reliable releases, support SOC 2 compliance, document infrastructure and processes, and contribute to disaster recovery and incident response planning.

The internship involves multiscale modeling focusing on physics and AI modeling. Interns will run simulations and define workflows using Python and related libraries.

The Electrical Engineer IV will lead complex electrical engineering projects, troubleshoot issues, design assemblies, and generate documentation and test reports to ensure peak equipment performance.

Lead the IQ Platform engineering team and define the architecture and roadmap for Jasper’s AI context layer. Build scalable knowledge management systems, integrations, and RAG pipelines that improve agent intelligence and reliability. Serve as a player-coach by contributing code, mentoring engineers, partnering with Staff-level technical leaders, and driving major platform initiatives from strategy through delivery.