Cloud and AI Ops Engineer

Job Description:

• 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.

• 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.

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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Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

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.

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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.