Description

Responsibilities

• Design operate and scale a multi cluster Kubernetes platform that provisions machines workloads and cloud instances on demand
• Build secure and resilient platform microservices including continuous integration and delivery single sign on role based access control secret encryption and monitoring workflows
• Integrate artificial intelligence tooling into workloads and develop agents and tools that help SRE teams operate at scale
• Own the production release lifecycle including Helm based deployments multi architecture container builds staged rollouts and rollback strategies
• Implement audit logging usage analytics and automation to support a large and growing internal user base
• Partner closely with software engineering and infrastructure teams to deploy new products and manage supporting systems and processes

Required Qualifications

• Six or more years of DevOps or Site Reliability Engineering experience supporting production Kubernetes environments in cloud or on premises deployments
• Strong experience with Kubernetes custom resource definitions operators ingress and cluster networking
• Experience integrating artificial intelligence tools into engineering or operational workflows
• Strong programming skills in Python or Go with working knowledge of TypeScript and React
• Hands on experience with cloud provisioning such as AWS or equivalent platforms
• Experience with identity federation protocols including OIDC and SAML and with secret management solutions
• Solid understanding of relational databases caching systems and asynchronous networking patterns
• Bachelor or Master degree in Computer Science or equivalent professional experience
• Demonstrated success delivering internal developer platforms and CI CD pipelines

Preferred Qualifications

• Experience working in Linux based multi tenant environments including virtual machines and Kubernetes administration
• Deep experience building agent driven workflows developer tools command line interfaces and machine control platforms
• Experience developing AI assisted operational tooling such as automated runbooks anomaly detection or large language model driven workflows
• Hands on experience with CI tools such as Jenkins or GitLab CI and CD tools such as Argo or Flux
• Experience with monitoring and observability tools including Prometheus Grafana Victoria Metrics Datadog Splunk or Kibana
• Strong documentation practices with a focus on root cause analysis and reusable runbooks

Key Skills

Education

Any Graduate