AI Operations Engineer II

Overview

The Security AI Platform team builds and operates production infrastructure that powers AI-native security capabilities at Microsoft scale. The AI Operations group is responsible for deployments, CI/CD pipelines, production reliability, and first-level on-call. We work closely with the Platform + Apps team who develops the core product features.

We are seeking an AI Operations Engineer II to build and maintain operational infrastructure for the platform. In this role, you will work on CI/CD pipelines, Kubernetes deployments, monitoring systems, and incident response. You will develop expertise in production operations while contributing to reliability improvements with guidance from senior engineers.

Responsibilities

• Maintain and extend CI/CD pipelines within established patterns: Azure DevOps/GitHub Actions workflows, build automation, test integration, and deployment scripts
• Manage Kubernetes deployments: Helm chart updates, deployment execution, pod troubleshooting, and resource configuration
• Develop and maintain observability: Prometheus metrics collection, Grafana dashboard creation, alerting rules, and log queries (Kusto/KQL)
• Participate in on-call rotation: respond to alerts, triage incidents, escalate appropriately, and document findings
• Debug and diagnose issues: analyze logs, traces, and metrics to identify problems; work with senior engineers on complex issues
• Maintain Infrastructure as Code: update Bicep templates, Helm values, and environment configurationsEnsure branch health: monitor PR pipelines, address build failures, maintain security scanning, and enforce merge policies
• Execute production deployments: run canary rollouts, monitor deployment health, and perform rollbacks when needed
• Write and maintain runbooks: document operational procedures, troubleshooting guides, and deployment checklistsCollaborate with Platform team: understand service requirements, validate deployment readiness, and provide operational feedback
• Participate in post-incident reviews: contribute to root cause analysis and implement reliability improvements

Qualifications

Required/minimum qualifications

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or preferred qualifications

• Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 2+ years technical engineering experience in DevOps, SRE, or platform operations
• 2+ years experience with CI/CD pipelines
• 1+ years hands-on experience with Kubernetes
• Experience with Azure services: AKS, Event Hub, Storage, Key Vault, or Managed Identity
• Infrastructure as Code experience: Bicep, Terraform, or Helm chart development
• Scripting proficiency: PowerShell, Bash, or Python for automation
• Experience with log analysis and querying: KQL/Kusto, Loki, or ELK stack
• Exposure to incident response and on-call responsibilities
• Understanding of distributed systems concepts and troubleshooting approaches
• Experience with container technologies: Docker, container registries, and image management
• Familiarity with ML infrastructure: GPU nodes, inference servers, or model deployment

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Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.