Top Linux Jobs in San Diego, CA

Supports aluminum product quality and manufacturing processes through alloy evaluation, materials testing, defect investigation, root-cause analysis, process control, and annealing-cycle optimization. Collaborates with production and quality teams to resolve metallurgical issues, reduce scrap, improve yield, maintain records, support ISO 9001 requirements, and ensure compliance with customer specifications and industry standards.

Designs, implements, secures, troubleshoots, and supports managed-services infrastructure across networks, security, virtualization, storage, and data centers. Supports sales engineering, member implementations, project delivery, monitoring, lab testing, technology evaluations, documentation, and service improvements. Collaborates with internal teams to resolve issues, maintain technical capabilities, and deliver strong customer experiences. Participates in after-hours support rotation.

Execute manual, exploratory, regression, and automated testing for web applications and backend services. Develop test plans and cases, validate requirements, investigate failures, identify root causes, and file actionable defects. Collaborate with Product and Engineering on acceptance criteria, quality standards, and release readiness in a Linux-first environment.

Provides technical consulting and project management for elevators, escalators, moving walks, and related conveyance systems. Responsibilities include design consulting, modernization planning, equipment assessments, maintenance audits, inspections, traffic analysis, construction administration, code compliance reviews, technical reporting, field evaluations, and client advising. The role coordinates schedules, budgets, deliverables, contractors, architects, and building owners while supporting business development and traveling to active construction sites and occupied buildings.

Design, develop, and maintain backend applications using Python and REST APIs. Investigate and prototype solutions, prioritize bug fixes, collaborate with product and engineering teams, participate in code reviews, and support cloud-native and enterprise environments. Contribute to roadmaps and assist on special projects to deliver high-quality, maintainable software.

Leads and supports capital engineering projects from feasibility through design, construction, startup, and turnover at a regulated biologics manufacturing site. Manages scope, schedules, budgets, contracts, vendors, documentation, risk assessments, change control, construction oversight, equipment procurement, and operational readiness. Partners with PMO, Plant Engineering, Maintenance, contractors, and cross-functional teams to ensure compliant, high-quality project execution.

Develop, test, troubleshoot, and support software integrations between warehouse robotics systems and customer platforms such as WMS, WCS, ERP, and middleware. Responsibilities include API and data-flow development, technical documentation, integration testing, UAT, deployment, root-cause analysis, and customer-facing go-live support. Collaborate with hardware, systems, field commissioning, project management, and customer teams. Provide on-site support at North American customer warehouses and travel up to 30%.

Leads an electrical engineering department by designing building electrical systems, preparing construction documents, performing calculations, estimating costs, ensuring code compliance, reviewing installations, overseeing quality assurance, managing project schedules and budgets, and mentoring engineers. The role also supports contracts, reporting, recruitment, training, and interdisciplinary coordination while using Revit, AutoCAD, and related engineering software.

Build automated validation, reconciliation, anomaly detection, and test automation for cloud billing data across AWS, Azure, and Google Cloud. Investigate and resolve data-quality issues, automate preventive checks, document provider billing models, support customer-facing data questions, and use AI tooling to accelerate investigation and anomaly triage.

Own infrastructure for deploying and operating customer-specific AI models. Responsibilities include production deployments, customer data isolation, security hardening, AWS cloud and GPU resource management, cost optimization, monitoring, logging, ETL pipelines, model versioning, ML lifecycle management, and automated testing. The role requires Python, cloud computing, CI/CD, infrastructure-as-code, security fundamentals, ML workflow familiarity, and a strong computer science background.