DevOps (Cloud/AI)

DevOps (Cloud/AI)

W2 Contract

Pay Rate: $60 - $70 per hour

Location: Cupertino, CA - Remote Role

Job Summary:

We are looking for a highly motivated DevOps / Site Reliability Engineer to support large-scale Kubernetes-based infrastructure and platform operations. This role is focused on building, automating, and operating highly reliable systems that power critical engineering platforms and services.

Duties and Responsibilities:

• Design, build, automate, and support scalable Kubernetes-based platforms and 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 tooling


• Troubleshoot infrastructure, application, and networking issues across distributed systems


• Work closely with engineering teams to improve deployment, reliability, and scalability practices


• Participate in operational support, incident response, and root cause analysis


• Improve CI/CD workflows and deployment automation


• Drive operational excellence through documentation, automation, and process improvements


• Take ownership of projects and independently drive deliverables to completion

Requirements and Qualifications:

• Strong hands-on experience with Kubernetes platforms such as EKS, GKE, and AKS or similar


• Experience running and supporting applications on Kubernetes at scale


• Strong understanding of containerized infrastructure and distributed systems


• Experience with monitoring and observability tools, preferably Grafana or Prometheus


• Experience with CI/CD pipelines and deployment automation


• Experience with Splunk logging, log analysis, and troubleshooting


• Strong scripting and automation experience using Python and/or Golang


• Experience troubleshooting production systems under pressure


• Strong communication and collaboration skills


• Self-starter mentality with strong ownership and accountability

Preferred Qualifications

• Experience operating Ray clusters/services


• Strong networking and troubleshooting experience


• Experience with cloud infrastructure and platform services


• Experience with Infrastructure as Code and automation frameworks


• Experience supporting high-scale production systems


• Familiarity with SRE principles and operational best practices

Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate.

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