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Tier-1 brand plus metro location and broad senior engineering requirements create moderate applicant competition.
High due to regulated financial services context, required database/security/compliance and enterprise data platform experience.
Explicit senior years, mandatory hands-on Java/data/CI-CD skills, regulatory and managerial requirements enforce strict screening.
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Take end-to-end technical ownership of Data Services platform delivery, architectural alignment, and execution across global agile engineering teams.
Directly manage distributed, multi-location software and data engineering pods including hiring, talent development, and performance management.
Drive AI-first software delivery culture by adopting generative AI tools to accelerate software development and enforce engineering excellence, regulatory compliance, and security standards.
12-15+ years total progressive experience in software/data engineering within highly regulated environments (preferably financial services).
5+ years direct engineering people management experience leading distributed or multi-location teams.
Advanced hands-on expertise in Java and enterprise frameworks (Spring Boot), relational (Oracle, SQL Server) and NoSQL (MongoDB) databases, API/microservices development, and CI/CD tooling (Linux, Harness/Jenkins, Docker, Kubernetes).
Location: Must be based in or willing to relocate to Pune, India. Education: Bachelor’s or Master’s degree in Computer Science or related engineering field.
Experienced senior engineering leader with proven success managing and scaling distributed agile engineering teams in regulated, enterprise-scale settings.
Technically hands-on with deep domain expertise in Java backend development, enterprise database tuning, and secure data platform architectures.
Comfortable driving AI-first methodologies and integrating generative AI tools into software delivery workflows, with experience collaborating across global teams and multiple time zones.