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Bayside Solutions is seeking an Infrastructure / Cloud Engineer to design, build, automate, and operate scalable Kubernetes-based platforms and services in a large-scale environment. This W2 contract in Cupertino, CA offers a remote role with competitive pay and challenging responsibilities.
The ideal candidate will have strong DevOps/SRE experience, scripting in Python or Go, and expertise with CI/CD pipelines, monitoring, and incident response.
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.
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.
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.
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.
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