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We are seeking a highly experienced and visionary Director of Engineering to lead our Banking Technology initiatives in India. This role involves driving Big Data and Reporting initiatives, providing strategic leadership, and embedding next-generation technologies like Generative AI into core processes and products. Responsibilities include developing high-performing engineering teams, fostering innovation, and ensuring operational excellence.
Job Responsibility:
drive the strategy, architecture, and delivery of large-scale big data platforms and sophisticated reporting solutions for the banking sector
define and execute the technical roadmap for big data and reporting, ensuring alignment with overall business objectives and industry best practices
identify and champion new technologies and approaches to enhance data processing, analytics, and reporting capabilities
partner closely with product owners, business stakeholders, and other engineering leaders to translate business requirements into technical solutions
provide strategic leadership and operational oversight for the entire engineering organization in India
attract, develop, and retain top engineering talent
champion continuous process improvements across the software development lifecycle (SDLC)
drive the adoption and maturity of DevOps practices and extensive automation across engineering functions
ensure the delivery of high-quality, scalable, resilient, and secure software solutions
strategically integrate Generative AI tools into the software development lifecycle
explore and implement GenAI solutions for functional deliverables, such as fraud detection models and personalized banking services
Requirements:
15+ years of experience in software engineering, with at least 5 years in a leadership role (Director level or equivalent) managing large, multi-functional engineering teams
extensive experience in the banking or financial services technology sector in India
proven track record of successfully delivering large-scale big data and reporting initiatives
demonstrated experience in leading and scaling engineering sites, including talent acquisition, development, and retention
strong experience in implementing and maturing DevOps practices and driving automation
experience with the strategic application and embedding of Generative AI in software development and functional applications
deep expertise with Big Data technologies, particularly Cloudera Hadoop ecosystem (HDFS, Hive, Spark)
strong proficiency in Tableau, Java and Angular for full-stack application development
familiarity with Starburst (Trino) is a significant plus, especially its application in real-time analytics and data virtualization for financial services
solid understanding of software architecture, design patterns, and scalable system development
proficiency in modern software development methodologies (Agile, Scrum)
exceptional leadership and people management skills, with the ability to inspire, motivate, and develop diverse teams
strong strategic thinking and problem-solving abilities
excellent communication and interpersonal skills, capable of engaging effectively with technical teams, business stakeholders, and senior leadership
ability to drive cultural change and foster a continuous improvement mindset
strong understanding of financial industry regulations and compliance requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Nice to have:
familiarity with Starburst (Trino)
experience with the strategic application and embedding of Generative AI in software development and functional applications
What we offer:
strong culture of technical excellence, collaboration, and continuous improvement
development and retention programs for top engineering talent
opportunities to embed next-generation technologies like Generative AI into core processes and products
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