Senior Cloud and AI Ops Engineer
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)10–10 yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead cloud operations to ensure high reliability and availability of HPE Networking Secure Access Service Edge (SASE) cloud services.
- Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code tools such as Terraform or CloudFormation.
- Drive automation of deployment, monitoring, scaling, and incident response; manage Kubernetes clusters and implement AI workflows to enhance cloud service features.
Minimum Requirements
- 10 years of overall experience in Cloud and AI Operations.
- 7+ years of programming experience in Python; 7+ years experience with Kubernetes, Helm, or Docker container environments.
- Experience with automation and CI/CD tools like Terraform, Ansible, Jenkins, and/or Git; expertise in monitoring tools such as Grafana, Datadog, or Prometheus.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent; role is onsite at an HPE office.
Ideal Candidate Profile
- Proven ability to lead end-to-end cloud operations and collaborate with DevSecOps teams to drive AI initiatives.
- Strong expertise in public cloud services (AWS specifically) and infrastructure deployment with Python code comprehension to explain AI-generated code.
- Experienced in optimizing Kubernetes clusters and scalable cloud-native applications in complex distributed environments.