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Tier-1 brand, popular full-stack lead role, metro location, and broad skillset increase competition.
Requires financial services enterprise experience and domain-specific AI/adjustment platform knowledge, limiting transferability.
Explicit 9+ years, VP seniority, and many mandatory tech and finance-domain requirements make filters strict.
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Architect and build a next-generation AI-powered Adjustment Platform that automates complex finance adjustment processes using agentic AI workflows.
Design and implement scalable, resilient full-stack applications with modern front-end and back-end technologies including conversational AI powered by LLMs.
Lead, coach, and manage a high-performing team while partnering with senior technical and business leaders across global Finance, Risk, and Engineering units.
9+ years of application development or systems analysis experience with strong enterprise-scale application architecture.
Deep full-stack expertise with React, TypeScript, Node.js, Java, and Java frameworks (Spring, Spring Boot, Spring Cloud, Spring Data JPA).
Experience with API-first design, microservices, containerization (OpenShift, Docker, Kubernetes), CI/CD tools, and databases (SQL, MongoDB, Oracle).
Bachelor's degree or equivalent experience; Master's degree preferred.
Experienced in leading full-stack engineering teams building enterprise-grade, AI-enabled financial applications in large, complex, global environments.
Strong proficiency with AI technologies including NLP techniques and conversational AI/chatbot development.
Hands-on with modern software engineering practices such as TDD, observability, microservices architecture, and AI-assisted development tools (e.g., Microsoft Copilot).