Infrastructure Platform Engineer: DevOps

Bayside Solutions; Cupertino (CA); On-site; USD 76,000 - 90,000; Full time

Job summary

Bayside Solutions, Inc. is seeking a highly motivated DevOps / Site Reliability Engineer to support large-scale Kubernetes-based infrastructure and platform operations in California.

This contract role focuses on building, automating, and operating highly reliable systems powering critical engineering platforms and services. You will design, automate, and operate scalable Kubernetes-based platforms, troubleshoot production environments, and drive improvements in deployment and reliability.

Qualifications

• Strong hands-on Kubernetes experience across cloud platforms.
• Proficient in Python and/or Golang for IaC and tooling.
• Experience with CI/CD pipelines and deployment automation.
• Familiarity with monitoring/observability (Grafana, Prometheus, Splunk).

Responsibilities

• Design, build, automate, and support scalable Kubernetes platforms and services.
• Operate and troubleshoot production environments at scale.
• Develop tooling to improve operational efficiency and reliability.
• Monitor platform health and performance with observability tools.
• Troubleshoot incidents and participate in RCA and incident response.
• Improve CI/CD workflows and deployment automation.
• Drive documentation and process improvements; own projects end-to-end.

Skills

Cloud infrastructure

Distributed systems

Python programming

Golang scripting

Strong communication

Self-starter ownership

Tools

Kubernetes

EKS

GKE

AKS

CI/CD pipelines

Splunk

Grafana

Prometheus

Python scripting

Golang scripting

Infrastructure as Code

Observability tooling

Job description

W2 Contract

Pay Rate: $55 - $65 per hour

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
• 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
• 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.

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