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Bengaluru metro and recognizable global employer increase competition, while seniority and niche platform skills reduce applicant density.
Core platform skills transfer across industries, though AI/ML focus and regulated healthcare domain raise specificity.
Explicit 10+ years, mandatory platform/SRE leadership, and Kubernetes/AWS/GitOps/IaC requirements make screening strict.
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Lead and grow a distributed Platform Engineering team responsible for a large-scale, cloud-native compute platform that supports global AI/ML applications.
Own platform strategy, roadmap, reliability, scalability, 24/7 production support, and continuous improvement for a Kubernetes-based infrastructure on AWS.
Drive technical leadership, stakeholder collaboration, and developer experience improvements with self-service capabilities and standardization.
10+ years experience in Platform Engineering or Site Reliability Engineering.
2+ years experience leading engineering teams focused on AI Infrastructure or PaaS.
Technical expertise in Kubernetes platform management (AWS EKS, Azure AKS, or GCP GKE), cloud-native architectures, security, and operational excellence.
Experience operating multi-tenant distributed platforms in production environments for AI/ML operations.
Proven ability to manage and scale globally distributed engineering teams with strong technical credibility.
Experienced in balancing platform strategy, execution, and people leadership in complex cloud-native environments.
Background in regulated industries or AI-driven platform optimization is advantageous but not mandatory.