Top Tech Jobs & Startup Jobs

Lead enterprise operational and technology risk management, including risk assessments, control self-assessments, key risk indicators, incident management, mitigation tracking, risk appetite frameworks, governance coordination, and executive reporting. The role evaluates risks from systems, projects, products, process changes, and outsourcing arrangements while challenging controls, corrective actions, thresholds, and escalation processes.

Designs and develops enterprise Java and J2EE software in complex, high-volume transaction environments. Builds solutions using Spring, microservices, Kafka, Redis, relational and NoSQL databases, REST, and web services. Collaborates with architects, technical leads, and business stakeholders; applies design patterns, UML, Agile/Scrum, Git, and CI/CD practices. Focuses on problem-solving, quality, reliability, communication, and scalable solutions for payments, fintech, or banking systems.

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.

Design, develop, and scale high-performance Java backend services using Spring Boot, Kafka, Cassandra, and PostgreSQL. Build RESTful APIs, microservices, and event-driven architectures while addressing distributed-system consistency, reliability, scalability, and performance. Collaborate with Product, DevOps, and Frontend teams; participate in architecture and code reviews; troubleshoot production issues; and write tested, maintainable code. Experience with payments or UPI, event sourcing, CQRS, observability tools, security practices, and Agile is advantageous.

Develop and maintain responsive React applications and reusable UI components for online and offline platforms. Translate Figma designs and requirements into functional interfaces, implement state management, integrate REST APIs, optimize performance, debug issues, and collaborate with backend, QA, and product teams. Participate in code reviews, Agile ceremonies, testing, and CI/CD processes while following maintainable coding practices.

Design and develop Java backend services for a B2B supply chain technology team. Responsibilities include microservices architecture, API design, product development from prototyping through integration, code reviews, technology evaluation, database development using SQL and NoSQL systems, cache implementation with Redis or KeyDB, and building complex reusable REST APIs across the full software development lifecycle.

Design, develop, test, and maintain high-performance distributed systems for a CBDC project using Rust. Collaborate on requirements, conduct code reviews, troubleshoot complex issues, optimize performance, and establish coding standards and documentation. Apply systems programming expertise in memory management, concurrency, networking, asynchronous development, cryptography, and Linux engineering while contributing to agile team practices.

Lead global UPI product strategy and development for NIPL, including product customization, portfolio management, P&L optimization, partner agreements, stakeholder relationships, market and competitor analysis, business cases, regulatory approvals, operating rules, SLAs, and cross-functional coordination across risk, compliance, operations, channel, and business teams.

Develop and deploy machine learning, deep learning, graph AI, and generative AI systems for fraud detection, AML, transaction intelligence, and conversational AI. Responsibilities include feature engineering, model evaluation, GPU optimization, production deployment, scalable pipeline development, model monitoring, and collaboration with academic and cross-functional teams. The role involves LLMs, RAG, agentic workflows, graph neural networks, federated learning, and real-time financial systems.