Senior Cloud and AI Ops Engineer

Overview

Senior Cloud and AI Ops Engineer in HPE Networking, supporting cloud services for the Secure Access Service Edge (SASE) business. The role combines cloud operations, automation and reliability work across distributed cloud environments.

What you'll do

• Lead Cloud Operations to support customer success and escalations to engineering.
• Enable day-to-day operational support and monitoring for HPE Networking SASE products so cloud services stay highly reliable and available.
• Design, implement and maintain scalable infrastructure using Infrastructure as Code tools such as Terraform or CloudFormation.
• Collaborate with development teams to improve cloud application performance and reliability from design through production.
• Implement AI workflows using data fetched from monitoring of cloud services to enhance product features.
• Drive automation for deployment, monitoring, scaling and incident response.
• Manage and optimize Kubernetes clusters and containerized applications.
• Act as technical team lead and oversee end-to-end cloud operations.
• Partner with the DevSecOps team to drive AI initiatives.
• Deploy and monitor infrastructure for Agentic workflows.

What you'll need

• Bachelor's or master's degree in computer science, engineering, information systems, or equivalent.
• 10 years of overall experience in Cloud and AI Operations.
• 7+ years of strong programming experience in Python (must).
• 7+ years of experience developing cloud native applications using Kubernetes, Helm or Docker container environments (must).
• Expertise in automation and CI-CD pipeline tools such as Terraform, Ansible, Jenkins and/or Git (must).
• Expertise in monitoring tools such as Grafana, Datadog or Prometheus (must).
• Experience developing, deploying and maintaining applications for Public Cloud environments (AWS, Azure, GCP, etc).
• Knowledge of networking protocols and concepts such as routing, TCP/IP, BGP, OSPF/ISIS, NetFlow, SNMP and Internet Traffic Engineering techniques.
• Excellent written and verbal communication skills, including communicating issue resolutions, product architectures and design proposals at senior management levels.
• Expertise in Cloud Services, specifically AWS (must).
• Ability to comprehend Python code (must); AI will write code, but the engineer must be able to explain what it does.
• Ability to assimilate new ideas and tackle tough problems as they arise.
• Desire to constantly grow and learn new skills.

Nice to have

• Ability to partner with the DevSecOps team to drive AI initiatives.
• Ability to deploy and monitor infrastructure for Agentic workflows.

Details

• Location: Bengaluru, Karnātaka, India.
• Work mode: Onsite, with an expectation of primarily working from an HPE office.
• Job level: TCP_04; job family: Engineering.