Jobs · Engineering

Infrastructure/Cloud DevOps - SRE

Bayside Solutions · Cupertino, CA · 1 mo ago
RemoteRemoteEngineering$55–$65/hrContract

About the role

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.

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 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

  • Kubernetes, Amazon EKS, Google Kubernetes Engine (GKE), Azure Kubernetes Service (AKS)
  • DevOps, Site Reliability Engineering (SRE), Cloud Infrastructure, Containerized Infrastructure, Distributed Systems, Platform Engineering
  • Production Operations, CI/CD, Deployment Automation, Infrastructure as Code (IaC)
  • Python, Golang, Grafana, Prometheus, Splunk, Observability, Log Analysis
  • Incident Response, Root Cause Analysis, Network Troubleshooting, Ray Clusters
  • Systems Automation, Performance Monitoring, Scalability, High Availability, Operational Excellence
  • Technical Documentation, Cross-Functional Collaboration, Project Ownership

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