Support disaster recovery architecture, ransomware resilience, and business continuity planning for platform services.
Contribute to vendor relationship management — evaluate cloud provider roadmaps, negotiate architectural patterns, and influence feature requests.
Represent the platform team in enterprise architecture boards, change advisory processes, and technology governance forums.
Support AI/ML platform infrastructure — GPU scheduling, model serving, feature stores, and MLOps pipeline architecture.
Requirements:
Bachelor's degree in Computer Science, a job-related discipline, or equivalent experience.
Minimum 8 years of hands-on experience in cloud infrastructure, systems engineering, or cloud architecture roles.
Minimum 5 years of hands-on experience writing Terraform at scale (enterprise module libraries, multi-environment state management, provider development).
Minimum 4 years of experience designing and implementing CI/CD pipeline architectures (Azure DevOps, GitHub Actions, or equivalent).
Minimum 3 years of experience in a technical leadership or architecture role — guiding teams, setting standards, making binding design decisions.
Demonstrated experience architecting solutions across both AWS and Azure (multi-cloud, not just single-provider).
Proven track record of resolving complex cross-domain infrastructure challenges (networking security compute automation).
Experience working in and leading within Agile/Scrum delivery teams.
Preferred Skills:
AWS Solutions Architect Professional or Azure Solutions Architect Expert certification.
HashiCorp Terraform Associate or equivalent IaC certification.
Kubernetes certification (CKA/CKAD) or equivalent hands-on container platform experience.
Deep expertise in hybrid networking: ExpressRoute, vWAN, Transit Gateway, Palo Alto NVA, SD-WAN, BGP routing.
Experience designing and operating enterprise landing zones (Azure CAF, AWS Control Tower, or custom).
Knowledge of AI/ML infrastructure architecture — GPU compute, distributed training, model serving, MLOps.
Experience with platform engineering practices: internal developer platforms, self-service infrastructure, golden paths.
Familiarity with FinOps practices, cloud cost optimization, and resource rightsizing.
Experience with compliance-as-code: Azure Policy, AWS Config Rules, OPA/Rego, Sentinel.