DevOps (Cloud/AI)

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
• Maintain platform health, performance, and availability using observability tooling
• Identify and resolve infrastructure, application, and networking issues across distributed systems
• Collaborate with engineering teams to improve deployment, reliability, and scalability practices
• Support operational support, incident response, and root cause analysis
• Optimize 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, and 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 or 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
• Effective communication and collaboration skills
• Self-starter mentality with strong ownership and accountability

Preferred Qualifications

• Experience operating Ray clusters/services
• 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, DevOps, Site Reliability Engineering, Cloud Infrastructure, AI Infrastructure, Platform Engineering
• EKS, GKE, AKS, Containerized Infrastructure, Distributed Systems, Production Operations, Infrastructure Automation, CI/CD Pipelines, Deployment Automation, Infrastructure as Code
• Python, Golang, Grafana, Prometheus, Splunk, Log Analysis, Monitoring and Observability, Ray Clusters, Network Troubleshooting, Incident Response, Root Cause Analysis, Performance Monitoring, High Availability, Scalability, Reliability Engineering, Operational Excellence, Technical Documentation, Cross-Functional Collaboration, Project Ownership