Senior Cloud and AI Ops Engineer
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 21h 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 of cloud services.
- Design, implement, and maintain scalable cloud infrastructure via Infrastructure as Code tools like Terraform or CloudFormation, and optimize Kubernetes clusters and containerized applications.
- Develop and deploy AI workflows from cloud service monitoring data to enhance product features, while driving automation for deployment, monitoring, scaling, and incident response.
Minimum Requirements
- 10 years of overall experience in Cloud and AI Operations.
- 7+ years of strong Python programming experience required.
- 7+ years of experience developing cloud-native applications using Kubernetes, Helm, or Docker container environments.
- Must have expertise in automation and CI/CD tools (Terraform, Ansible, Jenkins, Git) and monitoring tools (Grafana, Datadog, Prometheus). Bachelor's or master's degree in computer science, engineering, information systems, or equivalent mandatory. Role is onsite at HPE office; specific location not mentioned.
Ideal Candidate Profile
- Experienced in end-to-end cloud operations leadership with capability to support escalations and collaborate across teams.
- Strong background in public cloud environments (especially AWS), networking protocols (TCP/IP, BGP, OSPF/ISIS), and AI initiative partnerships with DevSecOps teams.
- Technical proficiency to understand, explain, and oversee Python AI code and infrastructure deployment in complex, distributed cloud settings.