Top Tech Jobs & Startup Jobs in Mumbai

Lead the strategy, roadmap, delivery, and profitability of a UPI cross-border remittance product. Responsibilities include developing business requirements, operating processes, risk controls, product documentation, governance, fraud operations, testing, launches, stakeholder communications, and continuous process improvement. The role partners with technology, compliance, risk, operations, legal, finance, business teams, vendors, audit, and project management to increase revenue, reduce losses, improve customer experience, and optimize product margins.

Lead client implementation and readiness activities involving payment API design, especially UPI; assess infrastructure and security architectures; interpret API specifications; document technical solutions; coordinate development and testing lifecycles; manage client interactions, project tracking, and internal and external stakeholder communications.

Manage end-to-end back-office projects and daily UPI and RuPay operations, including clearing, settlement, transaction monitoring, incident resolution, UAT, system enhancements, compliance, audits, reporting, stakeholder management, and process optimization. The role coordinates banks, PSPs, TPAPs, vendors, technology, product, risk, compliance, and NPCI teams while improving operational performance, scalability, customer experience, and partner outcomes.

Leads technical implementation and readiness for global clients and partners supporting UPI and RuPay acceptance, remittance, licensing, and digital product rollouts. Designs payment API architectures, evaluates infrastructure and security models, reviews code and development lifecycles, prepares technical specifications and RFP responses, and manages client-facing solution discussions. The role requires hands-on technical project management, strong documentation, and the ability to explain complex solution designs.

Develop and test backend features for the BHIM application, including business logic, scalable APIs, enterprise integrations, database connectivity, and performance optimization. Collaborate with frontend developers and agile teams, write unit, integration, and performance tests, and develop automation tools and continuous integration pipelines. The role also requires clean, documented code, strong problem-solving, technical leadership, and effective communication.

Lead architecture and development of Java-based stream-processing and distributed platforms for the national NETC FASTag ecosystem. Build low-latency, highly available transaction, settlement, fraud-detection, ANPR, and decisioning systems. Integrate with switching, clearing, and settlement platforms while ensuring resilience, observability, security, regulatory compliance, auditability, and disaster recovery. Provide technical leadership, mentor engineers, govern vendors, optimize national-scale performance, and retain core platform knowledge within NPCI.

Evaluates IT governance, general controls, information security, applications, infrastructure, cloud environments, and outsourced services. Reviews access, change management, incident response, data protection, application validation, business continuity, and disaster recovery controls. Identifies cyber and technology risks and assesses compliance with COBIT, ITIL, ISO 27001, RBI, UIDAI, NCIIPC, and data privacy requirements. Supports statutory, concurrent, and regulatory audits.

Develop end-to-end AI systems for fraud detection, AML, anomaly detection, transaction intelligence, graph analytics, and conversational AI. Responsibilities include feature engineering, ML and deep learning model development, LLM and agentic applications, GPU optimization, scalable batch and real-time deployment, evaluation, monitoring, and collaboration with technical, academic, and business stakeholders.

Develop and deploy machine learning, deep learning, Generative AI, and LLM solutions for financial and payment data. Build fraud detection, anomaly identification, NLP, conversational AI, complaint analysis, and RAG applications. Collaborate with engineering, product, and business teams to productionize models, evaluate performance, improve scalability, and meet security, compliance, and governance requirements.

Develop and deploy machine learning, deep learning, graph AI, and generative AI systems for fraud detection, AML, transaction intelligence, and conversational applications. Responsibilities include feature engineering, model evaluation, GPU/CUDA optimization, RAG and LLM development, federated AI exploration, production deployment, scalable pipeline design, and monitoring. The role involves working with transactional data, graph models, real-time systems, and cross-functional research and industry collaborators.