Skills this job asks for
Data engineeringPythonAzureAWSGoogle CloudMachine learningServiceNow
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Sponsorship unknown
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About the role
Systems/Software Engr
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:
Job title: AIOps Engineer
What You'll Do:
• Design and maintain intelligent monitoring and incident response workflows across cloud and on-premises systems.
• Build and optimize data pipelines that collect, normalize, and enrich logs, metrics, and events for operational analytics.
• Develop and deploy predictive models to detect anomalies, forecast outages, and reduce mean time to resolution.
• Automate remediation runbooks and integrate alerting with service management platforms to improve reliability.
• Partner with DevOps, Site Reliability, and security teams to improve platform performance, availability, and operational governance.
What You Need To Bring:
Education and Experience Required:
Bachelor’s degree in computer science, Information Technology, or a related field required, with 2-5 years of experience in IT operations, reliability engineering, or platform engineering, including AI-driven operations or automation-focused roles.
Knowledge and Skills:
• Python for automation, data processing, and operational tooling
• Observability platforms (for example, Splunk, Datadog, Prometheus, Grafana)
• Cloud platform operations (for example, Azure, AWS, or Google Cloud)
• Machine learning model lifecycle and deployment practices
• IT service management and workflow orchestration tools (for example, ServiceNow, PagerDuty, Rundeck)
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.
#india
#networking
Job:
Engineering Job Level:
TCP_02
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or an
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