Live opening · Posted 1 day ago

Infrastructure Platform Engineer: DevOps

Bayside Solutions · Cupertino, CA (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyBayside Solutions
LocationCupertino, CA (Remote)
Salary$55/hr - $65/hr
Work modeYes
SkillsPython, Kubernetes
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

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.

Work arrangement
Yes

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