Top Linux Jobs in San Diego, CA

Design, build, and operate scalable distributed systems for real-time restaurant payment and financial workflows. Responsibilities include architecting reliable services, protecting sensitive financial data, improving observability and production performance, debugging distributed systems, participating in on-call rotations, applying AI-assisted engineering tools, collaborating cross-functionally, and mentoring engineers.

Build and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, test reliability, observability, and engineering productivity at scale. Own services from architecture through production, including SLOs and on-call operations. Lead cross-functional technical projects, partner with engineering teams, mentor engineers, and shape platform strategy.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Lead enterprise architecture strategy and design for scalable, secure, high-performing technology solutions. Define architecture roadmaps, integration patterns, data flows, cloud strategies, and governance standards. Provide technical leadership to engineering teams, guide modernization and DevOps initiatives, manage risks, and ensure compliance. Collaborate with business stakeholders, project teams, and partners to translate strategic objectives into technology solutions, resolve complex implementation challenges, and support successful delivery across distributed teams.

Develop, deploy, document, and support full-stack web applications, APIs, integrations, and automation solutions. Build Vue.js and JavaScript interfaces, Python backend services, RESTful APIs, relational database integrations, and AWS-hosted applications. Collaborate across product, QA, infrastructure, security, and business teams in an Agile environment. Troubleshoot production issues, follow secure development practices, and apply AI, LLM, and workflow automation concepts to improve business processes.

Own end-to-end network reliability across data centers, AWS, and GCP, including routing, switching, DNS, load balancing, service mesh, VPNs, circuits, and cross-connects. Automate network configuration with Ansible, Terraform, GitOps, CI validation, and IPAM. Engineer failover, observability, security hardening, client connectivity, and Kubernetes ingress while participating in an interrupt-contained on-call rotation.

Develop and maintain Ruby on Rails applications, write and review code, troubleshoot bugs, and collaborate with developers, QA engineers, product managers, and designers. The intern will receive mentorship while contributing to financial technology products and learning about scalable systems, testing, APIs, Agile methods, and consumer finance.

Deploy and customize the company’s AI-native IT service platform within enterprise environments. Build production integrations, data pipelines, agent workflows, and internal tooling; connect ticketing, identity, device management, and knowledge-base systems; own live customer deployments; and relay customer insights into product improvements. The role involves close customer collaboration, occasional on-site deployment work, and hands-on software development using Python and TypeScript.

Build and operate scalable software powering enterprise data science and AI platforms. Contribute across backend services, APIs, frontend features, and cloud integrations while working on high-impact projects. Collaborate with experienced engineers, apply modern software engineering practices, and learn technologies supporting reliable, reproducible, and compliant AI and MLOps solutions.

Supports customer deployment, integration, testing, troubleshooting, and optimization of wireless mesh radios across drones, robots, and unmanned platforms. Builds validation workflows, scripts, and troubleshooting tools; analyzes RF and network performance; recreates field conditions in laboratories; produces technical documentation and reports; and partners with engineering and firmware teams to improve products. The role also serves as a technical advisor during customer integrations, field evaluations, and mission-critical deployments.