Key skills
AIMLMLOpsAWSAzureGoogle CloudTerraformGitHub ActionsAnsibleCloudFormationIAMAzure DevOpsAzure ADEntra IDSSOGitHubCI/CDCommunicationCollaboration
About this role
Title: Platform Architect
Address: Renton, WA 98056
Time Zone: Will be expected to work Pacific Time Zone hour
Requirements:
Designs and governs the platform foundation that enables secure, scalable, and reliable delivery of applications (including AI Landing Zones) defining cloud/platform architecture, identity and automation patterns, and engineering standards to accelerate development teams.
Key Responsibilities
- Design and govern the core cloud/platform foundation supporting secure, scalable, and reliable application delivery, including AI Landing Zones.
- Define reference architectures, patterns, and guardrails for cloud platforms, identity, and automation.
- Establish and maintain engineering standards, reusable templates, and automation to accelerate development teams.
- Partner with security, infrastructure, and application teams to embed security, compliance, and reliability into the platform by design.
- Drive adoption of platform capabilities through documentation, enablement, and collaboration with engineering teams.
Qualifications
Required
- Proven experience in cloud architecture or platform engineering (e.g., AWS, Azure, Google Cloud Platform).
- Hands-on experience designing and implementing platform foundations (landing zones, VPC/VNet designs, CI/CD, observability, etc.).
- Strong knowledge of identity and access management (e.g., Azure AD/Entra ID, IAM, SSO, RBAC) and security best practices.
- Experience with automation and infrastructure-as-code tools (e.g., Terraform, Bicep, CloudFormation, Ansible, GitHub Actions, Azure DevOps).
- Solid understanding of modern application architectures (microservices, containers, APIs) and how platforms support them.
- Ability to define and document standards, patterns, and reference architectures for engineering teams.
- Strong collaboration and communication skills, with the ability to influence and guide development teams.
Preferred
- Experience designing AI or data platforms, including AI/ML landing zones or MLOps environments.
- Certifications in major cloud providers (e.g., AWS Solutions Architect, Azure Solutions Architect, Google Professional Cloud Architect).
- Background in DevOps/SRE practices (monitoring, reliability, performance engineering).