Top Senior Linux Jobs in San Diego, CA

Build and scale infrastructure supporting an AI-driven healthcare platform. Responsibilities include CI/CD pipelines, Terraform-based infrastructure as code, Kubernetes and cloud infrastructure management, autoscaling, observability, capacity planning, cost optimization, developer tooling, automation, incident response, and security and compliance integration.

Develops manufacturing and service process documentation, routing, work instructions, and drawings for aerospace tooling and equipment. Supports shop-floor problem solving, manufacturability reviews, quoting, supplier and tooling coordination, root-cause investigations, and lean continuous improvement. Partners with operations, quality, programming, customers, and suppliers to improve quality, efficiency, cost, reliability, and on-time delivery.

Leads development and design of highly complex software solutions, coordinating coding, testing, debugging, integrations, and proof-of-concept work. Serves as a technical subject matter expert and consultant, ensuring solutions meet business, security, and engineering standards. Guides root-cause analysis, optimization, code reviews, and enterprise standards while mentoring engineers and collaborating with stakeholders. The role focuses on TypeScript, AWS, Kafka, event-driven architectures, microservices, databases, and modern software development practices.

Leads a distributed engineering organization responsible for the architecture, delivery, security, reliability, and modernization of a multi-tenant SaaS marketplace. Oversees engineering talent, roadmap planning, software quality, cloud and deployment practices, incident response, technical debt, client implementations, vendor relationships, and platform scalability. Partners with product, sales, security, infrastructure, and client services while guiding architecture decisions and strategic customer engagements.

Develops and improves manufacturing processes for slot machine production, focusing on efficiency, quality, automation, safety, ergonomics, and compliance. Responsibilities include root cause analysis, tooling and fixture development, supplier collaboration, Lean and Six Sigma initiatives, engineering controls, FEA, and kinematics analysis. The role requires collaboration with design and production teams and hands-on work in a manufacturing environment.

Designs and operates Azure-based platform infrastructure, Kubernetes environments, CI/CD pipelines, Infrastructure as Code, GitOps workflows, monitoring, and automation. The role develops Terraform modules, Ansible playbooks, Helm charts, and GitLab templates; manages AKS reliability, observability, disaster recovery, cloud costs, and security controls; and supports 24x7 production operations, incident response, troubleshooting, and continuous improvement.

Design, develop, and commission industrial control systems for manufacturing equipment. Write and refine PLC programs and HMI/SCADA systems using P&IDs and electrical drawings. Lead equipment startup, troubleshoot systems, create and run test procedures, support onsite installation and commissioning, and participate in project scoping and continuous improvement activities.

Leads supplier engineering for polymers and resins, supporting material selection, component design, development, qualification, production release, and supplier process improvement. Partners with supply chain, design, manufacturing, and cross-functional teams to onboard extruded components, qualify suppliers, integrate processes, and ensure compliant component supply. Coordinates project plans, schedules, stakeholder communication, and technical improvements while applying polymer-processing expertise, analytical defect investigation, SPC, and process optimization.

Sets enterprise-wide quality engineering strategy for AI-assisted and agentic testing. Leads the Tricentis platform, designs test automation and AI-agent evaluation frameworks, integrates testing into CI/CD, and ensures GxP, FDA CSA, GAMP 5, and Part 11-compliant evidence. Partners across enterprise applications, data engineering, AI, and regulatory teams while mentoring QA engineers, managing vendors, measuring quality outcomes, and guiding technical standards for regulated systems.

Supports the lifecycle management of automation and computerized systems in a regulated life sciences environment. Responsibilities include PLC and process control system modifications, change controls, system lifecycle documentation, commissioning, acceptance testing, risk assessments, engineering change notices, and project coordination. The role collaborates with Engineering, Quality, Validation, Manufacturing, and Automation teams while maintaining compliant technical and project documentation.