Senior Cloud and AI Ops Engineer
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 30–48 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and manage cloud operations for HPE Networking SASE products to ensure high reliability and availability.
- Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code tools like Terraform or CloudFormation.
- Drive automation, monitoring, scaling, and incident response, including managing Kubernetes clusters and integrating AI workflows for enhanced product features.
Minimum Requirements
- 10 years of overall experience in Cloud and AI Operations.
- 7+ years of programming experience in Python.
- 7+ years of experience with cloud-native applications using Kubernetes, Helm, or Docker.
- Must work onsite at an HPE office (Onsite role).
Ideal Candidate Profile
- Experienced in developing, deploying, and maintaining cloud services on public cloud platforms (AWS is a must).
- Strong expertise in automation and CI-CD tools such as Terraform, Ansible, Jenkins, and Git, with hands-on skills in monitoring tools like Grafana, Datadog, or Prometheus.
- Capable of technical leadership in cloud operations, partnering with DevSecOps teams to drive AI initiatives and deploy agentic workflows.