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Strong Tier-1 brand, broad platform skillset required, senior role reduces mid-level applicant density.
Platform engineering skills transfer across industries, though AI/data-platform experience narrows ideal fit somewhat.
Explicit 8+ years and mandatory AWS, Terraform, Kubernetes, CI/CD and scripting skills make filters strict.
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Lead design, architecture, implementation, and evolution of secure, scalable, high-availability AWS cloud platforms supporting AI and data initiatives.
Drive platform engineering roadmap, standards, best practices for cloud infrastructure, automation, reliability, and operational excellence including Infrastructure as Code with Terraform and Kubernetes management.
Provide technical leadership for cloud security, monitoring, incident management, and operational maturity while mentoring platform engineers and supporting multi-product environments.
8+ years experience in Cloud Engineering, DevOps, Platform Engineering, SRE or related role.
Strong hands-on expertise with AWS services and Infrastructure as Code using Terraform; experience managing Kubernetes clusters (preferably Amazon EKS).
Working knowledge of Azure and Google Cloud Platform (GCP) is desirable but not mandatory.
Bachelor's degree in Computer Science, IT, Engineering, or equivalent practical experience.
Experienced leader capable of independently driving technical initiatives in complex, multi-product cloud environments focusing on AI and data platform use cases.
Strong infrastructure automation and platform reliability focus with hands-on mastery of AWS, Terraform, Kubernetes, and CI/CD tooling including GitHub Actions.
Practitioner of secure cloud architecture, operational excellence, FinOps, and platform engineering standards with prior mentorship and cross-team collaboration experience.