Senior Cloud and AI Operations Engineer

Hewlett Packard Enterprise India Private Limited; Bengaluru; In loco; INR 2.500.000 - 5.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health & wellbeing

Personal & Professional Development

Unconditional Inclusion

Descrizione del lavoro

Hewlett Packard Enterprise India Private Limited is seeking a Senior Cloud and AI Ops Engineer to build and scale cloud-native applications with a strong emphasis on automation and reliability. You will operate at the intersection of software and operations, driving AI-enabled improvements and cloud performance in an onsite setting.

The role demands 10 years in Cloud and AI Operations, with 7+ years in Python and containerized environments.

Competenze

• 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.
• 7+ years of experience in developing Cloud native applications using Kubernetes, Helm, or Docker container environments.
• Expertise in automation and CI-CD pipeline tools like Terraform, Ansible, Jenkins, and/or Git.
• Expertise in monitoring tools like Grafana, Datadog, or Prometheus.
• 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.

Mansioni

• Lead Cloud Operations to support customer success as well as escalations to engineering.
• Enable day-to-day operational support and monitoring for SASE products to ensure Cloud services are reliable.
• Design, implement, and maintain scalable infrastructure using Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Collaborate with development teams to improve Cloud applications performance and reliability from design through production.
• Implement AI workflows from monitoring data to enhance product features.
• Drive automation for deployment, monitoring, scaling, and incident response.
• Manage and optimize Kubernetes clusters and containerized applications.

Conoscenze

Python programming

Kubernetes

Docker

Terraform

Ansible

Jenkins

Git

Formazione

Bachelor's or Master’s degree

Strumenti

Grafana

Datadog

Prometheus

Descrizione del lavoro

Senior Cloud and AI Ops Engineer 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.

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.

Experience Level

Senior Level