Job description

Infrastructure / Cloud Engineer W2 Contract Pay Rate: $75 - $85 per hour Location: Cupertino, CA - Remote Role Job Summary: We are seeking a highly motivated DevOps / Site Reliability Engineer to support large-scale, Kubernetes-based infrastructure and platform operations. This role focuses on building, automating, and operating highly reliable systems that support critical engineering platforms and services. The ideal candidate combines strong Kubernetes and infrastructure expertise with scripting and automation skills, strong debugging capabilities, and a self-starter mindset. 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, including managed Kubernetes services 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. • Experience with CI/CD pipelines and deployment automation. • Experience with logging, log analysis, and troubleshooting. • Strong scripting and automation experience using Python and/or Go. • Experience troubleshooting production systems under pressure. • Strong communication and collaboration skills. • Self-starter mentality with strong ownership and accountability. Preferred Qualifications: • Experience operating distributed compute clusters or 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 . 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.

Requirements

Must-haves

Infrastructure / Cloud Engineer
Pay Rate: $75 - $85 per hour
Location: Cupertino, CA - Remote Role
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.
Strong hands-on experience with Kubernetes platforms, including managed Kubernetes services or similar.
Experience running and supporting applications on Kubernetes at scale.
Strong understanding of containerized infrastructure and distributed systems.

Nice-to-haves

Experience operating distributed compute clusters or 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 .
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesci/cdpythongo

Platform: careers-html
Effort: medium