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Tier-1 bank brand and metro location increase competition, but niche platform and AI infra skills moderate applicant density.
Requires platform/cloud expertise plus BFSI-specific model governance and regulatory experience, limiting cross-industry transferability.
Explicit 5+ years and 3+ management plus extensive mandatory platform, cloud, and banking requirements.
Manage and develop a team of specialty-domain engineers and less experienced managers to build high-quality platform engineering capabilities.
Ensure adherence to platform architecture, handle technical escalations, and collaborate cross-functionally to remove impediments and incorporate technology strategies including cloud modernization and AI/ML platform development.
Own resource allocation, performance management, hiring, mentoring, and drive platform engineering excellence including CI/CD, infrastructure automation, and enterprise-scale AI/ML solutions.
5+ years software engineering experience with 3+ years people management experience.
Strong expertise in Python, Django, microservices, APIs, distributed systems, and cloud-native architectures on Google Cloud Platform (GCP).
Experience with Kubernetes, OpenShift, Infrastructure as Code, Hadoop/PySpark, AI/ML platforms, and platform operations.
Work Experience Required: 5+ years software engineering; 3+ years management experience. Notice period: Not explicitly mentioned in the JD.
Experienced leader of global engineering teams with a track record of delivering large-scale platform, infrastructure, and cloud modernization initiatives.
Deep domain knowledge in platform engineering including hybrid compute platforms spanning OpenShift, GCP, on-premises, and AI infrastructure design.
Demonstrated ability to define long-term compute and platform strategies, work with regulatory technology platforms in banking/finance, and lead innovation in AI-assisted development and HPC environments.