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Tier-1 employer, metro location, and a visible senior engineering leadership role increase candidate competition.
Platform leadership and GenAI skills transfer across industries, but payments experience is a notable preference.
Explicit 12+ years, managerial minimum, and required Generative AI/backend platform expertise create strict shortlisting filters.
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Lead multiple engineering teams to design, develop, and deliver modern, scalable Value Added Services (VAS) platforms and APIs with strong operational and security standards.
Drive strategic execution of product modernization roadmap aligned with business goals and market opportunities, including generative AI and integration innovations.
Own end-to-end software development lifecycle, promoting engineering excellence, operational management, cross-functional collaboration, and continuous technology improvement.
Bachelor's degree in Computer Science or related engineering field.
12+ years of relevant work experience including at least 2 years in a managerial role.
Hands-on experience with Generative AI, Machine Learning, and languages such as Java, Python, Golang.
Hybrid work setup requiring minimum 3 days in-office weekly as per leadership guidelines.
Proven leader capable of managing global, diverse software engineering teams delivering complex distributed systems in payments or related domains.
Experienced in agile methodologies, product modernization, and integrating multiple internal and third-party solutions with measurable business impact.
Strong strategic vision with ability to collaborate with product and stakeholders to drive innovation and operational excellence.