Microsoft

Microsoft

Data Engineer

Redmond, WA, US

Sponsorship not specifiedDetected 15 hours ago
GitAzureCloud PlatformsCI/CDDevOpsData EngineeringData ScienceCybersecurityBudgetingCommunication

About the role

  • Monitor security recommendations and vulnerability remediation efforts.
  • Experience implementing or supporting security and compliance initiatives, including vulnerability remediation and security controls.

Responsibilities

  • Drive incident management, troubleshooting, root cause analysis, and postmortem reviews.
  • Partner with engineering teams to ensure production workloads meet platform standards and operational requirements.
  • Participate in live-site operations and support critical production incidents.
  • Drive Secure Future Initiative (SFI) and Security 360 (S360) remediation activities across the platform.
  • Partner with security, privacy, compliance, and engineering teams to maintain platform compliance.
  • Support SDL, TrIP, OSOT, privacy, and governance requirements for hosted workloads.
  • Support onboarding of new projects and engineering teams onto AMP.
  • Build reporting and visibility into platform costs and utilization trends.
  • Support budget planning and chargeback/showback processes.
  • Develop scripts, dashboards, and operational processes that reduce manual effort and improve reliability.

Requirements

  • Experience with infrastructure governance, environment provisioning, and access management.
  • Experience with CI/CD pipelines, GitHub, Azure DevOps, and automation frameworks.
  • Experience with cost optimization and capacity planning for Azure or Fabric services.

Skills

  • Experience supporting production cloud platforms running business-critical workloads.

Benefits

  • Platform Operations & Reliability Own day-to-day operational health of AMP-Processing and AMP-Analytics environments.
  • Monitor platform availability, capacity utilization, performance, and service health.

This listing is sourced directly from Microsoft's careers page and normalized into a canonical job model.