Top Linux Jobs in San Diego, CA

The role involves developing enterprise software, building data pipelines, and creating flexible marketing solutions using AI capabilities. You'll work on a mission-critical platform to improve understanding of customer data and engage audiences through collaboration and innovation.

Own the architecture and operation of a secure, scalable GCP platform for production AI agents. Design networking, identity, service perimeters, secrets management, Terraform modules, CI/CD pipelines, LLM access, observability, and cost controls. Lead incident response, postmortems, provider relationships, and platform governance while enabling product teams to deploy independently and safely.

Develop and maintain embedded firmware for Wi-Fi and Bluetooth LE connectivity modules in portable and home power products. Responsibilities include provisioning, OTA updates, device-to-cloud messaging, subsystem protocols, testing, CI/CD firmware releases, telemetry, mobile app integration, and bench debugging. The role refactors existing code, reduces technical debt, documents designs, and collaborates with firmware, electrical, cloud, mobile, QA, manufacturing, and support teams.

Own the enterprise technical architecture for Microsoft Fabric/FDP and Azure integration platforms. Define reusable patterns, governance controls, lifecycle standards, security, resilience, monitoring, and production-readiness requirements. Review internal and partner designs, manage architecture decisions and roadmaps, evaluate capacity and costs, and establish build-to-run handoffs. Partner with Enterprise Architecture, Security, Data Governance, analytics, application teams, and global platforms while influencing decisions without direct authority.

Architects, builds, and maintains cloud-native enterprise systems and microservices on GCP. Leads software architecture, engineering standards, CI/CD, database design, AI/ML integration, systems reliability, compliance, and vendor governance. Provides technical leadership, mentors teams, troubleshoots complex IT systems, and owns system lifecycles from design through production maintenance while aligning business stakeholders and engineering teams.

Leads process engineering and consulting work for complex industrial capital projects. Develops scopes, discipline narratives, specifications, schedules, budgets, execution plans, and quality deliverables. Optimizes engineering solutions, manages project risks, coordinates multidisciplinary teams, delegates work, communicates with clients, and tracks project performance. May serve as project manager for smaller single-discipline or multidisciplinary projects.

Develop and maintain enterprise mainframe COBOL applications supporting order processing, warehouse, billing, sales, and credit systems. Responsibilities include requirements gathering, solution design, coding, testing, quality assurance, deployment, integration with MQ and APIs, workflow evaluation, project coordination, and production support. The role provides technical leadership, enforces development standards, collaborates with users and product owners, and mentors other engineers. It is hybrid, requiring four days per week at the LaVergne, Tennessee headquarters.

Develops and supports customer-specific technical solutions for Jenzabar customers. Responsibilities include defining requirements, scoping solutions, programming, integrations, system updates, troubleshooting customizations, preparing statements of work, and communicating technical solutions to non-technical users. Collaborates with customers and internal developers across multiple projects.

Write and optimize GPU kernels for machine learning training and inference workloads. Profile hardware performance, improve memory and scheduling efficiency, integrate kernels into training and serving systems, benchmark end-to-end results, and maintain performance across evolving hardware and frameworks. Collaborate with research teams on algorithm-kernel co-design and share low-level performance expertise across the organization.

Designs, develops, integrates, tests, deploys, and maintains cloud-native applications and AWS infrastructure. Builds CI/CD pipelines, Infrastructure as Code solutions, and containerized deployments using Terraform, CloudFormation, Docker, and Kubernetes. Supports cloud modernization, monitoring, observability, security, troubleshooting, scalability, resiliency, and high availability while collaborating with software, systems, and cloud engineering teams in Agile environments.