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Tier-1 brand plus metro location increases competition, while senior specialized role reduces applicant pool.
Requires enterprise data-platform, regulatory compliance, and Java/DB expertise, so industry-specific experience is critical.
Many mandatory filters: 12+ years, 5+ people management, Java/Spring, DBs, Kafka, Kubernetes, CI/CD.
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Own end-to-end technical delivery, architectural alignment, and global engineering execution for strategic Data Services platforms.
Manage and lead distributed agile software and data engineering teams with responsibilities for hiring, talent development, capacity planning, and performance evaluations.
Drive AI-first software delivery by championing generative AI tools to accelerate delivery, improve code quality, and automate testing while ensuring compliance with enterprise architecture and security standards.
12-15+ years of software/data engineering experience in large-scale, regulated environments (preferably financial services).
5+ years of direct engineering line management or platform lead experience with distributed/multi-location teams.
Hands-on expertise in Java (Spring Boot/Spring Framework/Hibernate), database engineering (Oracle, SQL Server, MongoDB), CI/CD tools, and generative AI development experience.
Location: Must be based in or willing to relocate to Pune, India.
Proven technical leader with strong expertise in managing agile engineering delivery and aligning global engineering teams across time zones.
Experienced in building and scaling high-throughput, secure data platforms and microservices with regulatory and audit compliance focus.
Strong operational owner with ability to integrate AI-first development practices and enforce architectural and security governance in a complex enterprise setting.