Cloud and AI Ops Engineer

Experteer Overview As part of HPE Networking, you design and deliver cloud services for SASE, building end-to-end solutions for mission-critical apps. You work onsite in San Jose, collaborating with cross-functional teams to enable scalable, observable cloud infrastructure. You apply AI-driven approaches to detect and troubleshoot issues, raising reliability and performance. This role blends cloud engineering, SRE practices, and AI-enabled ops to accelerate secure access services for customers. Compensation / Benefits * Deploy cloud infrastructure using Docker containerization * Automate cloud orchestration with Kubernetes, Python, and Jenkins * Utilize NoSQL databases (MongoDB, DynamoDB) for cloud-native apps * Develop and deploy Lambda functions using AWS-SAM * Monitor and generate alerts with Grafana, Influx, or Kibana * Apply Infrastructure-as-Code with Terraform to deploy cloud services * Integrate logs, metrics, alerts, and telemetry into AIOps platforms * Provide SRE support and monitoring for HPE Networking SASE products * Design AI-driven strategies to detect, address, and auto-troubleshoot issues Tasks * 3+ years Python programming * 3+ years developing cloud-native apps, Kubernetes, and containerized environments * Experience with automation/CI-CD tools: Terraform, Ansible, Jenkins, and/or Git * Experience with monitoring tools: Grafana, Datadog, Prometheus, Observe, or Splunk * Public cloud experience (AWS, Azure, GCP, etc) * Familiarity with data analysis and basic machine learning concepts * Knowledge of NoSQL databases (MongoDB, DynamoDB) preferred * Networking knowledge (routing, TCP/IP, BGP, OSPF/ISIS, NetFlow, SNMP, ITE techniques) * Excellent written and verbal communication; growth mindset Key requirements * Health & wellbeing programs * Personal & professional development programs * Unconditional inclusion and flexible work arrangements * Culture of bold moves and collaboration

and monitoring for HPE Networking SASE products * Design AI-driven strategies to detect, address, and auto-troubleshoot issues Tasks * 3+ years Python programming * 3+ years developing cloud-native apps, Kubernetes, and containerized environments * Experience with automation/CI-CD tools: Terraform, Ansible, Jenkins, and/or Git * Experience with monitoring tools: Grafana, Datadog, Prometheus, Observe, or Splunk * Public cloud experience (AWS, Azure, GCP, etc) * Familiarity with data analysis and basic machine learning concepts * Knowledge of NoSQL databases (MongoDB, DynamoDB) preferred * Networking knowledge (routing, TCP/IP, BGP, OSPF/ISIS, NetFlow, SNMP, ITE techniques) * Excellent written and verbal communication; growth mindset Key requirements * Health & wellbeing programs * Personal & professional development programs * Unconditional inclusion and flexible work arrangements * Culture of bold moves and collaboration