Infrastructure / Cloud Engineer

Bayside Solutions; Cupertino (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Bayside Solutions, Inc. is seeking a DevOps / Site Reliability Engineer to design, build, automate, and support scalable Kubernetes-based platforms and services. The role focuses on operating highly reliable systems that support critical engineering platforms and services.

You will operate production environments at scale, develop automation to improve reliability, and drive CI/CD improvements. Strong scripting in Python or Go and experience with observability, logging, and incident response are

Qualifications

• Hands-on experience with Kubernetes platforms at scale.
• Experience with CI/CD pipelines and deployment automation.
• Scripting in Python and/or Go.
• Observability, logging, and debugging skills.
• Strong communication and ownership mindset.

Responsibilities

• Design, build, automate, and support scalable Kubernetes platforms and services.
• Operate and troubleshoot production environments at scale.
• Develop automation to improve efficiency and reliability.
• Monitor platform health and performance using observability tooling.
• Drive improvements to CI/CD workflows and deployment automation.
• Take ownership of projects and deliverables end-to-end.

Skills

Kubernetes

CI/CD pipelines

Python

Go

Observability

Logging

Automation

SRE principles

Distributed systems

Cloud infrastructure

Tools

Prometheus

Grafana

Terraform

CI/CD tooling

Job description

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.
• Familiarity with SRE principles and operational best practices.

Desired Skills and Experience

Kubernetes and managed Kubernetes services, DevOps/SRE, cloud infrastructure and platform operations, containerized applications, distributed systems and compute clusters, Python/Go scripting, infrastructure as code, automation frameworks and tooling, CI/CD pipelines, deployment automation, monitoring and observability, logging and log analysis, infrastructure/application/network troubleshooting, production support at scale, incident response and root cause analysis, performance and availability optimization, scalability and reliability engineering, technical documentation and process improvement, cross-functional communication and collaboration, 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.

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