Description

Design and govern the core cloud platform foundation to support secure, scalable application delivery, including AI Landing Zones.

This role is on-site.

Responsibilities

• Define reference architectures, patterns, and guardrails for cloud platforms, identity, and automation.
• Establish engineering standards, reusable templates, and automation to accelerate development teams.
• Partner with security and infrastructure teams to embed compliance and reliability into the platform by design.
• Drive adoption of platform capabilities through documentation and enablement.

Required Skills

• Proven experience in cloud architecture or platform engineering with AWS, Azure, or GCP.
• Hands-on experience designing platform foundations, including landing zones and VPC/VNet designs.
• Strong knowledge of identity and access management (Azure AD/Entra ID, IAM, SSO, RBAC).
• Experience with infrastructure-as-code tools: Terraform, Bicep, CloudFormation, or Ansible.
• Proficiency with CI/CD pipelines using GitHub Actions or Azure DevOps.
• Solid understanding of microservices, containers, and API architectures.
• Bachelor's degree with 5+ years of experience.

Preferred Skills

• Experience designing AI/ML landing zones or MLOps environments.
• Cloud provider certifications (e.g., AWS Solutions Architect, Azure Solutions Architect).
• Background in DevOps/SRE practices including monitoring and performance engineering.

Key Skills

Education

Bachelor's degree