DevOps (Cloud-AI)

DevOps (Cloud-AI)

W2 Contract

Pay Rate: $55 - $65 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, 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 and 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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