AI Operations Engineer II at Microsoft

, , Israel -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

CI/CD Pipelines, Kubernetes, Prometheus, Grafana, KQL, Bicep, Helm, Azure DevOps, GitHub Actions, Incident Response, Infrastructure As Code, Docker, PowerShell, Bash, Python, Kusto

Industry

Software Development

Description

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft's mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers' heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. About the Team: 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 configurations Ensure branch health: monitor PR pipelines, address build failures, maintain security scanning, and enforce merge policiesExecute production deployments: run canary rollouts, monitor deployment health, and perform rollbacks when needed Write and maintain runbooks: document operational procedures, troubleshooting guides, and deployment checklists Collaborate with Platform team: understand service requirements, validate deployment readiness, and provide operational feedbackParticipate in post-incident reviews: contribute to root cause analysis and implement reliability improvements Qualifications Minimum Requirements Bachelor's Degree in Computer Science or related technical field OR equivalent practical 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 Additional Requirements 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 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.

Responsibilities

The engineer will maintain and extend CI/CD pipelines, manage Kubernetes deployments, and develop observability tools using Prometheus and Grafana. Responsibilities also include participating in on-call rotations, debugging issues, and maintaining Infrastructure as Code using Bicep templates.