Senior Cloud and AI Ops Engineer

Hewlett Packard Enterprise; Bengaluru; Presencial; INR 3.600.000 - 6.000.000; Jornada completa

Descripción de la vacante

Hewlett Packard Enterprise in Bengaluru, India, seeks a Senior Cloud and AI Ops Engineer to lead cloud operations and automate infrastructure. The role focuses on reliability, scalability, and AI-driven improvements across SASE cloud services. Onsite work from an HPE office is expected.

The ideal candidate brings extensiveCloud/AI ops experience, strong Python and Kubernetes skills, and a passion for automation and performance in distributed cloud environments.

Formación

• 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 Python development experience.
• 7+ years developing Cloud-native applications using Kubernetes, Helm, or Docker.
• Automation and CI/CD tooling such as Terraform, Ansible, Jenkins, and Git.
• Monitoring with Grafana, Datadog, or Prometheus.
• Experience in AWS, Azure, GCP or other Public Cloud environments.
• Knowledge of networking (routing, TCP/IP, BGP, OSPF/ISIS, NetFlow, SNMP).
• Excellent written and verbal communication; able to present to senior management.
• Willingness to learn and adapt to new technologies.

Responsabilidades

• Lead Cloud Operations to support customer success and engineering escalations.
• Enable day-to-day operational support and monitoring for SASE cloud services for high reliability.
• Design, implement, and maintain scalable IaC infrastructure with Terraform or CloudFormation.
• Collaborate with development teams to improve cloud app performance and reliability.
• Implement AI workflows from monitoring data to enhance product features.
• Drive deployment, monitoring, scaling, and incident response.
• Manage and optimize Kubernetes clusters and containerized applications.

Conocimientos

Python

Kubernetes

Terraform

Ansible

CI/CD

Docker

Automation

AWS

Azure

GCP

Networking

Communication

Educación

Bachelor's or master's in CS/Engineering/IS

Herramientas

Grafana

Datadog

Prometheus

Jenkins

Git

Terraform

Kubernetes

Docker

CloudFormation

Descripción del empleo

Senior Cloud and AI Ops Engineer

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

As part of HPE Networking business unit, this is a great opportunity for someone who is looking to make a difference! You will be joining HPE to provide top class Cloud Services to meet the fast-growing business requirements of Secure Access Service Edge (SASE) business. The Senior Cloud Developer builds from the ground up to meet the needs of mission‑critical Cloud applications and is always looking for innovative approaches to deliver end‑to‑end technical solutions to solve customer problems. We are seeking a skilled and proactive engineer with 7-10 years of experience to join our growing team. This role is tailored for engineers who have a strong background in managing cloud‑native applications at scale and are passionate about automation, reliability, and performance. You will work at the intersection of software development and operations, driving reliability and scalability in complex, distributed cloud environments.

What you will do:

• Lead Cloud Operations to support customer success as well as escalations to engineering.


• Enable day‑to‑day operational support and monitoring for HPE Networking SASE products to ensure that Cloud services are highly reliable and available to customers.


• Design, implement, and maintain scalable infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.


• Collaborate with development teams to improve Cloud applications performance and reliability from design through production.


• Implement AI workflows from the data fetched from monitoring of various Cloud services to enhance the product's features.


• Drive automation for deployment, monitoring, scaling, and incident response.


• Manage and optimize Kubernetes clusters and containerized applications.

What you need to bring:

• 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 is a must.


• 7+ years of experience in developing Cloud native applications using Kubernetes, Helm, or Docker container environments is a must.


• Expertise in automation and CI-CD pipeline tools like Terraform, Ansible, Jenkins, and/or Git is a must.


• Expertise in monitoring tools like Grafana, Datadog, or Prometheus is a must.


• Experience in 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.


• Ability to effectively communicate issue resolutions, product architectures, and design proposals at senior management levels.


• A desire to constantly grow and learn new skills.

In this team you will be exposed to new technologies and new problems. Ability to assimilate new ideas and tackle tough problems as they arise will be the key to success Able to be a technical team lead and oversee end‑to‑end Cloud operations. Able to partner with DevSecOps team to drive AI initiatives Able to deploy and monitor infrastructure for Agentic workflows Expertise in Cloud Services (specifically AWS) is a must Able to comprehend Python code is a must (AI will write code, but need to be able to explain what it is doing) Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

What We Can Offer You:

• Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.


• Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.


• Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let’s Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

Job:

Engineering Job Level: TCP_04 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Equal Employment Opportunity:

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here. Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Disclosure of Sensitive Personal Data:

Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.