Description
We are seeking an AI Ops Engineer to join our team. As an AI Ops Engineer, you will work on average 2 days per week from an HPE office. You will be responsible for designing and maintaining intelligent monitoring and incident response workflows across both cloud and on-premises systems.
Responsibilities:
- Design and maintain intelligent monitoring and incident response workflows across both cloud and on-premises systems.
- Build and optimize data pipelines to collect, normalize, and enrich logs, metrics, and events for operational analytics.
- Develop and deploy predictive models to detect anomalies, forecast outages, and reduce mean time to resolution.
- Automate remediation runbooks and integrate alerting with service management platforms to enhance system reliability.
- Collaborate with DevOps, Site Reliability, and security teams to improve platform performance, availability, and operational governance.
Education and Experience Required:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 5-8 years of experience in IT operations, reliability engineering, platform engineering, or roles focused on AI-driven operations and automation.
Knowledge and Skills:
- Proficiency in Python for automation, data processing, and operational tooling , required.
- Experience with observability platforms such as Splunk, Datadog, Prometheus, or Grafana , required.
- Familiarity with cloud platform operations (Azure, AWS, or Google Cloud) , preferred.
- Knowledge of machine learning model lifecycle management and deployment , advantageous.
- Experience with IT service management and workflow orchestration tools such as ServiceNow, PagerDuty, or Rundeck , beneficial.
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.
- Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness.