Required Qualifications
Leadership & Experience: 10+ years in Cloud, DevOps, Platform, or Data/ML Engineering, including 2+ years managing or leading engineers.
Infrastructure as Code (IaC): Expert, hands-on Terraform (modules, state management, multi-environment design).
Multi-Cloud Expertise: Deep hands-on experience with AWS and Azure (networking, IAM/RBAC, compute, security); familiarity with GCP. Proven cloud migration track record.
Containerization & GitOps: Hands-on Kubernetes (EKS, AKS) and ArgoCD or Flux.
CI/CD & Automation: Production GitHub Actions (or equivalent), Git workflows, and scripting (Python, Bash, or PowerShell).
Identity & OS: Enterprise SSO (Entra ID, SAML, OIDC, SCIM) and dual administration of Linux and Windows Server.
Cross-Domain Breadth: Ability to lead teams across DevOps, MLOps, and DataOps.
Communication & Modern Tooling: Strong communication for leadership alignment, team mentorship, and practical use of AI-assisted development tools.
Preferred Qualifications
MLOps & DataOps Tooling: Experience with MLflow, SageMaker, Azure ML, or DB change management (Liquibase/Atlas).
AI & Migration: Custom MCP server development and experience driving toolchain migrations (e.g., Azure DevOps to GitHub).
Databases & App Modernization: Azure SQL/Managed Instance experience and containerizing legacy applications (.NET/WebForms).
Certifications: AWS, Azure, or HashiCorp Terraform certifications.
| Location | Herndon, VA |
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