Cloud and AI Ops Engineer

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: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 fantastic opportunity for someone who is looking for new & exciting opportunities 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 Cloud and AI Engineer builds from the ground up to meet the needs of mission-critical applications and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.This role will be on-site 2+ days a week in San JoseYou Will Make Your Mark by (Job Responsibilities):Deployment of Cloud infrastructure using Docker Containerization.Automate Cloud Orchestration Services using Kubernetes, Python, and Jenkins.Use NoSQL Databases like MongoDB, DynamoDB to support Cloud based applications.Develop and Deploy Lambda functions using AWS-SAM.Monitor and generate alerts using Distributed Log and Observability utilities like Grafana, Influx, or Kibana.Leverage Infrastructure-as-Code frameworks like Terraform to deploy Cloud Services.Integrate Operational data sources like logs, metrics, alerts, and telemetry sources into AIOps platforms.Enable SRE support and monitoring for HPE Networking SASE products to ensure that applications are running as per their requirements.Create strategies to detect issues, address those issues, and design systems to troubleshoot automatically using AI.Required Knowledge and Skills:This role will be on-site 2+ days a week in San Jose3+ years programming experience in Python is a must.3+ years of experience in developing Cloud native applications, Kubernetes, and 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, Prometheus, Observe, or Splunk is a must.Experience in developing, deploying, and maintaining applications for Public Cloud environments (AWS, Azure, GCP, etc).Familiarity with Data analysis and basic machine learning concepts.Knowledge of NoSQL databases like MongoDB, DynamoDB is preferred.Knowledge of networking protocols and concepts such as routing, TCP/IP, BGP, OSPF/ISIS, NetFlow, SNMP, and Internet Traffic Engineering techniques.Good communication skills, written and verbal, along with ability to communicate complex procedures.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.Bachelor's or Master’s degree in Computer Science, Information Systems, or equivalent.What We Can Offer You:Health & WellbeingWe 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 DevelopmentWe 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 InclusionWe 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. #unitedstatesJob:EngineeringJob Level:TCP_02"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 105,500 - 213,500 in CaliforniaThe listed salary range reflects base salary. Variable incentives may also be offered."Information about employee benefits offered in the US can be found at 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 AlertWe 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.SummaryLocation: San Jose, California, United States of AmericaType: Full time