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Senior platform leadership (8+ years) in Mumbai reduces applicant density despite metro competition.
Strong AI/MLOps and platform requirements create high domain bias for candidates.
Explicit 8+ years, 3+ years people management and required cloud/infra tech stack enforce strict filters.
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Lead platform engineering teams to deliver scalable, reliable, and secure internal development and MLOps platform products supporting AI and data workloads.
Own platform strategy, roadmap, and operations including cloud architecture (AWS, Azure, GCP), Infrastructure as Code (Terraform), container orchestration (Docker, Kubernetes), and CI/CD pipelines.
Manage platform uptime, incident response, cost optimization, developer experience, and collaborate across product, data science, engineering, and security teams.
8+ years experience in data/software space with at least 3+ years in people management or technical leadership of Data Science or ML teams.
Strong hands-on experience with cloud platforms (AWS/Azure/GCP).
Expertise in Infrastructure as Code (preferably Terraform), Docker, Kubernetes, CI/CD pipeline design and operation.
Proficiency in Python scripting, strong Linux fundamentals, and understanding of SRE principles, reliability, scalability, and security best practices.
Experienced engineering leader in AI-native environments managing platform or DevOps teams focused on scalable AI/data platforms.
Strategic and operational ownership mindset treating platform capabilities as products driving enablement of product teams.
Strong technical judgment balancing scalability, reliability, security, cost, and operational excellence in cloud-native infrastructure.