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Tier-1 brand, mid-level experience demand, metro context, and manager title increase candidate competition.
Banking domain expertise, regulatory and model governance expectations reduce cross-industry transferability.
Explicit 5+ years plus deep GCP, Kubernetes, platform, AI/HPC and management requirements enforce high shortlisting strictness.
Manage and develop a team of specialty-domain engineers and less experienced managers to build high-quality platform capabilities.
Ensure platform architecture adherence, non-functional requirements, and security standards for software releases.
Lead technology strategy execution including cloud modernization, AI/ML platform operations, and platform engineering with vendor and stakeholder collaboration.
5+ years software engineering experience with 3+ years in people management.
Strong expertise in Python, Django, OOP, APIs, microservices, distributed systems, and Google Cloud Platform (GCP) services.
Experience with platform engineering including developer platforms, CI/CD pipelines, hybrid compute environments (OpenShift, GCP, on-prem).
Work Experience Required: 5+ years software engineering, 3+ years people management. Notice period: Not explicitly mentioned in the JD.
Proven experience leading global engineering teams delivering large-scale platform and cloud infrastructure transformations.
Deep expertise in AI/ML platforms, hybrid and cloud-native compute orchestration, AI infrastructure including GenAI applications and HPC environments.
Strong domain knowledge in banking/financial services risk management, with ability to define enterprise compute and AI infrastructure strategy.