Cloud and AI Ops Engineer

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

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 No
  
  SQL 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.

• 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 No
  
  SQL databases like MongoDB, DynamoDB is preferred.
• Knowledge of networking protocols and concepts such as routing, TCP/IP, BGP, OSPF/ISIS, Net Flow, 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.