Platform Engineer II/III
Zone 5 Technologies - San Luis Obispo, CA
Hiring: Platform Engineer II/III Company: Zone 5 Technologies Location: San Luis Obispo, CA Job Posted Time: 2026-09-13 10:29:55 Employment Type: Hybrid Target Skills & Keywords : AWS, Bash, CI/CD, DNS, Data Pipeline, GitOps, IAM, Infrastructure as Code, Kubernetes, Linux, MLOps, Machine Learning, Node.js, Python, TCP/IP, VPN About the job Experience: •5+ years of experience in platform engineering, DevOps, SRE, or cloud infrastructure roles Required Skills: •Design and implement auto-scaling compute infrastructure for simulation workloads using cloud platforms •Build and maintain on-premises GPU and CPU clusters for simulation and machine learning training •Architect hybrid cloud solutions that optimize cost and performance across cloud and local compute resources •Implement job scheduling and orchestration systems using Kubernetes for thousands of concurrent simulations •Design storage solutions for large-scale simulation data, logs, and artifacts using cloud and local storage systems •Simulation Platform Development •Deploy and maintain robotics simulation environments at scale •Build CI/CD pipelines for automated simulation testing of autonomy software Qualifications: •Bachelor's in Computer Science, Software Engineering, or related technical field – equivalent industry experience also welcome •2-5+ years of experience in platform engineering, DevOps, SRE, or cloud infrastructure roles •Strong hands-on experience with Kubernetes for container orchestration and workload management •Comprehensive expertise in Linux system administration and troubleshooting •Strong networking fundamentals including TCP/IP, routing, DNS, VPNs, and security •Understanding of infrastructure as code principles and configuration management •Proficiency in scripting and automation (Python, Bash, or similar) •Solid grasp of distributed systems concepts, job scheduling, and resource management •Demonstrated capacity to design infrastructure from first principles and make architectural decisions •Understanding of GPU computing and accelerated workload management Compensation: •$113,000 - $141,000 / year •Comprehensive benefit package options include medical, dental, vision, life, and more Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!