DevOps Engineer – Cloud AI (Remote, W2 Contract)

About the role

We are seeking a motivated DevOps / Site Reliability Engineer to design, build, and operate large‑scale Kubernetes‑based platforms that support critical engineering services. This W2 contract position is remote, with the hiring company based in Cupertino, CA.

Key responsibilities

• Design, build, automate, and support scalable Kubernetes platforms (EKS, GKE, AKS) and related services.
• Operate and troubleshoot production environments running at scale.
• Develop automation and tooling to improve operational efficiency and reliability.
• Monitor platform health, performance, and availability using observability tools such as Grafana and Prometheus.
• Troubleshoot infrastructure, application, and networking issues across distributed systems.
• Collaborate with engineering teams to enhance deployment, reliability, and scalability practices.
• Participate in incident response, root‑cause analysis, and operational support.
• Improve CI/CD workflows and deployment automation.
• Drive operational excellence through documentation, automation, and process improvements.

Required profile

• Strong hands‑on experience with Kubernetes platforms (EKS, GKE, AKS) at scale.
• Deep understanding of containerized infrastructure and distributed systems.
• Experience with monitoring and observability tools, preferably Grafana and Prometheus.
• Proficiency in CI/CD pipelines and deployment automation.
• Experience with Splunk for logging, analysis, and troubleshooting.
• Solid scripting/automation skills using Python and/or Golang.
• Ability to troubleshoot production systems under pressure.
• Excellent communication and collaboration skills.

Required skills

• Kubernetes
• Amazon EKS
• Google GKE
• Azure AKS
• Containerized infrastructure
• Distributed systems
• Grafana
• Prometheus
• Splunk
• Python
• Golang
• CI/CD pipelines
• Deployment automation
• Ray clusters/services
• Networking troubleshooting
• Infrastructure as Code
• Automation frameworks