Cloud and AI Ops Engineer This role has been designed as ''Onsite'' with an expectation that you will primarily work from an HPE office. 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 Jose You 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 Jose - 3+ 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 & 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: #unitedstates Job: Engineering Job 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 California The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html