Top Remote Linux Jobs in San Diego, CA

Lead a 30-60 engineer organization, define and execute engineering strategy for major product lines, own end-to-end delivery and budget ($2M-$5M+), drive architecture, quality, velocity and reliability, build leadership pipeline, partner cross-functionally, and present to executive leadership while driving AI-assisted development and engineering transformation.

Manage cloud-based product deployments and services, deploy Red5 Pro, build and maintain CI/CD pipelines, automate deployments and monitoring, evaluate systems against industry standards, and support cross-functional engineering, customer, and sales teams.

This is a general application for future game development roles, allowing candidates to submit their resumes for consideration.

Develop and maintain security-focused products for Google Workspace and M365 using TypeScript, Node, React, Kubernetes, and GCP (BigQuery, Datastore). Implement secure SDLC practices (Git, code reviews, CI/CD, TDD), participate in design and architecture, handle on-call monitoring (Sentry, PagerDuty), triage production issues, and support customer-facing high-priority requests.

The VP of Engineering will lead the engineering team, develop strategies, manage infrastructure, and ensure delivery of software and services supporting the company's goals.

Design, build, and operate large-scale distributed web-crawling and data ingestion systems. Improve throughput, reliability, observability, and data quality. Develop backend services for job orchestration and asynchronous workloads, partner with product teams to create data products, and mentor teammates on domain-specific acquisition techniques.

The Senior Systems Engineer will support DoD acquisition programs through lifecycle activities, requirements analysis, system architecture documentation, and technical reviews.

The Systems Engineer will architect and implement solutions for queueing systems and state stores, improve throughput and latency, and collaborate with teams to enhance the user experience.

Administer, provision, and maintain HPC/AI compute, storage, networking, and software stacks. Develop automation for provisioning, configuration management, and monitoring. Install, configure, and optimize job schedulers (e.g., Slurm), deploy MPI and containerized HPC applications, perform benchmarking, tuning, capacity planning, security patching, troubleshooting, and vendor coordination while supporting researchers and documenting procedures.

Embed with enterprise customers to design, integrate, and deploy production agentic AI workflows. Wire platform into data, identity, and internal systems, lead security and procurement reviews, drive adoption, and feed product improvements to accelerate future deployments.