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Tier-1 brand and metro location increase interest, but seniority and specialized data-platform skills reduce density.
Requires regulated financial-services platform experience and enterprise Java/data lakehouse skills, limiting cross-industry transferability.
12+ years required with mandatory hands-on Java/data platform and regulatory experience makes shortlisting very strict.
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Own end-to-end technical delivery and architectural alignment of global Data Services platforms including data lakehouse modernization and regulatory compliance projects.
Manage and lead distributed agile engineering teams with direct line management responsibility covering hiring, talent development, and performance management.
Drive adoption of generative AI tools to accelerate software delivery, enforce high engineering standards, and ensure robust, compliant API and microservices development.
12-15+ years software/data engineering experience in large-scale regulated environments, preferably financial services.
5+ years direct engineering line management experience handling distributed teams.
Hands-on expertise in Java (Spring Boot), database engineering (Oracle, SQL Server, MongoDB), generative AI tools, CI/CD, and API/microservices development.
Willingness to be based in or relocate to Pune, India; bachelor's or master's degree in Computer Science, Information Systems, or related engineering discipline.
Experienced senior engineering leader adept at managing distributed agile engineering pods and driving complex platform modernization projects.
Strong strategic focus on architectural governance, technical debt remediation, and security compliance within regulated data platforms.
Demonstrated capability in championing AI-first software practices and fostering technical excellence in high-throughput, secure data services environments.