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Principal AI Operations Engineer
Location
United States
Posted
6 days ago
Salary
Not specified
No structured requirement data.
Job Description
Job Requirements
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
- 6+ years technical engineering experience in DevOps, SRE, or platform operations
- 6+ years driving complex operational initiatives across teams; demonstrated success leading without authority
- 4+ years hands-on experience with Kubernetes in production environments
- 3+ years building and maintaining CI/CD pipelines at scale
- Ability to meet Microsoft, customer and/or government security screening requirements
- This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
- Preferred Qualifications
- Experienced with Kubernetes: cluster operations, Helm, troubleshooting, autoscaling, and production management
- Proficiency with CI/CD platforms: Azure DevOps, GitHub Actions, or similar pipeline tooling
- Experience with cloud platforms (Azure preferred): AKS, networking, identity management, and resource provisioning
- Infrastructure as Code: Bicep, Terraform, or Helm chart development
- Observability tooling: Prometheus, Grafana, OpenTelemetry, and log analytics (Kusto/KQL)
Benefits
- The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year
- There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year
- Certain roles may be eligible for benefits and other compensation