Juniper Networks
From Juniper Networks's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
AI Ops Engineer This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
AI Ops Engineer
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
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.
Designs, develops, troubleshoots, and debugs software programs for enhancements and new product development. Develops software components such as operating systems, compilers, routers, networks, utilities, databases, and Internet-related tools. Assesses hardware compatibility and/or influences hardware design decisions.
Applies specialized subject matter expertise to resolve common and occasionally complex technical challenges, recommending alternatives as needed. May act as a project lead and provide guidance to junior professionals. Exercises independent judgment and collaborates with others to determine the most effective methods for accomplishing work and achieving objectives.
Design and maintain intelligent monitoring and incident response workflows across both cloud and on-premises systems.
Build and optimize data pipelines to 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 enhance system reliability.
Collaborate with DevOps, Site Reliability, and security teams to improve platform performance, availability, and operational governance.
Bachelor’s degree in Computer Science, Information Technology, or a related field.
5-8 years of experience in IT operations, reliability engineering, platform engineering, or roles focused on AI-driven operations and automation.
Proficiency in Python for automation, data processing, and operational tooling — required.
Experience with observability platforms such as Splunk, Datadog, Prometheus, or Grafana — required.
Familiarity with cloud platform operations (Azure, AWS, or Google Cloud) — preferred.
Knowledge of machine learning model lifecycle management and deployment — advantageous.
Experience with IT service management and workflow orchestration tools such as ServiceNow, PagerDuty, or Rundeck — beneficial.
Relocation support is provided for eligible candidates
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.
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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. Please click here: 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.
Recruitment Fraud Alert
We 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.
All 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. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
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