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Mumbai metro senior platform role with broad cloud/Kubernetes/IaC skills yields high applicant competition.
Core platform and DevOps skills are transferable, but AI/ML leadership requirements increase domain specificity.
Explicit 8+ years, 3+ years management, and mandatory cloud/Terraform/Kubernetes/SRE skills make shortlisting highly strict.
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Lead and manage platform, DevOps, and SRE engineering teams delivering internal development and MLOps platforms that improve automation, scalability, reliability, and developer productivity.
Own and execute platform engineering strategy and roadmap aligned with business and delivery objectives, collaborating closely with product managers, data scientists, ML engineers, application engineers, and security teams.
Oversee platform capabilities as long-lived products ensuring production readiness, uptime, incident management, CI/CD improvements, cost optimization, and developer enablement.
8+ years of experience in data/software domain with at least 3+ years in a formal people management or technical leadership role leading Data Science or ML teams.
Strong hands-on experience with cloud platforms such as AWS, Azure, and/or GCP.
Proficiency in Infrastructure as Code (preferably Terraform), Docker, Kubernetes, CI/CD pipeline design and operation.
Proficiency in Python scripting and strong Linux fundamentals.
Experienced in managing platform engineering with strategic ownership of scalable, reliable AI and data platform products in cloud-native environments.
Capable of balancing technical trade-offs across reliability, security, scalability, and cost while ensuring strong developer experience and platform production readiness.
Strong leadership in fostering engineering culture, incident response, and cross-functional collaboration with product, data science, and security teams.