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.