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