Platform AI Engineer
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted on 7 Sept
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Hewlett Packard Enterprise (HPE)
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Hewlett Packard Enterprise (HPE) you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain core Kubernetes-based private cloud AI platform components focusing on scalability, reliability, and security.
- Lead resolution of complex issues spanning applications, Kubernetes, CNI, CSI drivers, and external storage.
- Drive CI/CD best practices and contribute to architectural decisions, supporting a hybrid team environment.
Minimum Requirements
- Bachelor’s degree or higher in Computer Science or related field.
- 7+ years professional experience in cloud or platform engineering roles.
- Proficient in Kubernetes, containerized systems, CNI, CSI, PV/PVC lifecycle management, Linux, storage, and security fundamentals.
- Advanced programming skills in Golang, Python, shell scripting; experience with Git, GNU Make, and CI/CD pipelines; role is onsite, primarily working from an HPE office.
Ideal Candidate Profile
- Experienced senior-level engineer with deep expertise in Kubernetes ecosystem and cloud-native platform engineering.
- Strong technical leadership demonstrated by mentoring teammates, performing code reviews, and participating in architectural discussions.
- Comfortable working across the stack, integrating new technologies, and collaborating with product managers and a hybrid team setup.