{"id":3446384,"url":"https://alion.io/job/hewlett-packard-enterprise-senior-cloud-and-ai-ops-engineer","title":"Senior Cloud and AI Ops Engineer","company":{"id":5292,"name":"Hewlett Packard Enterprise","domain":"hpe.com","url":"https://alion.io/company/hewlett-packard-enterprise","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":159,"ghost_share":0,"stale_share":0.767,"repost_share":0.006,"time_to_fill_p50_days":33,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":68000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BGP","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"OSPF","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"TCP/IP","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-29T08:32:25Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-01T18:26:07Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Senior Cloud and AI Ops EngineerThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.Who We Are:\nHewlett 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.\nJob Description:\nAs 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.\nWe 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.\nWhat you will do:\nLead Cloud Operations to support customer success as well as escalations to engineering.\nEnable day-to-day operational support and monitoring for HPE Networking SASE products to ensure that Cloud services are highly reliable and available to customers.\nDesign, implement, and maintain scalable infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.\nCollaborate with development teams to improve Cloud applications performance and reliability from design through production.\nImplement AI workflows from the data fetched from monitoring of various Cloud services to enhance the product's features.\nDrive automation for deployment, monitoring, scaling, and incident response.\nManage and optimize Kubernetes clusters and containerized applications.\nWhat you need to bring:\nBachelor's or master's degree in computer science, engineering, information systems, or equivalent.\n10 years of overall experience in Cloud and AI Operations.\n7+ years of strong programming experience in Python is a must.\n7+ years of experience in developing Cloud native applications using Kubernetes, Helm, or Docker container environments is a must.\nExpertise in automation and CI-CD pipeline tools like Terraform, Ansible, Jenkins, and/or Git is a must.\nExpertise in monitoring tools like Grafana, Datadog, or Prometheus is a must.\nExperience in developing, deploying, and maintaining applications for Public Cloud environments (AWS, Azure, GCP, etc).\nKnowledge of networking protocols and concepts such as routing, TCP/IP, BGP, OSPF/ISIS, NetFlow, SNMP, and Internet Traffic Engineering techniques.\nExcellent written and verbal communication skills. Ability to effectively communicate issue resolutions, product architectures, and design proposals at senior management levels.\nA 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\nAble to be a technical team lead and oversee end-to-end Cloud operations.\nAble to partner with DevSecOps team to drive AI initiatives\nAble to deploy and monitor infrastructure for Agentic workflows\nExpertise in Cloud Services (specifically AWS) is a must\nAble to comprehend Python code is a must (AI will write code, but need to be able to explain what it is doing)\nAccessibility\nHPE 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.\nNote: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.\nWhat We Can Offer You:\nHealth & Wellbeing\nWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.\nPersonal & Professional Development\nWe 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.\nUnconditional Inclusion\nWe 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.\nLet's Stay Connected:\nFollow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.\nJob:\nEngineeringJob Level:\nTCP_04HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. 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. Please click here: Equal Employment Opportunity.\nHewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.\nHPE 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.\nRecruitment Fraud Alert\nWe have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.\nAll legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. 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