Infrastructure Platform Engineer: DevOps
Infrastructure Platform Engineer: DevOps 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 Python Coding Skills (Infrastructure as Code and Tools Building) Strong understanding of containerized infrastructure and distributed systems Experience with monitoring and observability tools, preferably: Grafana 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 Desired Skills and Experience DevOps, Site Reliability Engineering (SRE), Kubernetes platform engineering, EKS/GKE/AKS, large-scale production operations, Python programming, Golang scripting, Infrastructure as Code (IaC), automation frameworks, infrastructure tooling development, containerized infrastructure, distributed systems, cloud infrastructure and platform services, CI/CD pipelines, deployment automation, Grafana, Prometheus, Splunk, monitoring and observability, log analysis, performance and availability monitoring, infrastructure/application/network troubleshooting, incident response, root cause analysis, scalability and reliability optimization, Ray cluster/service operations, technical documentation, process improvement, cross-functional collaboration, communication, independent project ownership and accountability Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at www.baysidesolutions.com.