Top Tech Jobs & Startup Jobs in Mumbai

Designs, develops, tests, deploys, and maintains secure software solutions across the full SDLC. Leads technical solution planning, production support, incident remediation, technology evaluations, and proof-of-concept initiatives. Creates technical documentation, ensures testing and quality compliance, coordinates offshore development, supports vendor collaboration, and mentors team members through training and knowledge transfer.

Lead commercialization and go-to-market execution for Mastercard Transfer Solutions across India and South Asia. Responsibilities include developing market strategies, identifying payment use cases, prospecting and contracting banks and NBFIs, structuring deals, owning account-level P&L, optimizing pricing and corridors, developing partnerships, monitoring competition, and coordinating cross-functional teams to deliver revenue growth.

Plan and lead data science and machine learning projects for financial applications. Design, deploy, validate, monitor, and improve scalable models for transaction classification, temporal analysis, risk modeling, and structured or unstructured data. Develop innovative solutions using machine learning and data engineering best practices, identify team resource needs, and communicate technical findings, strategy, and roadmaps to business leaders, clients, and stakeholders.

Develops secure, scalable software and REST services; evaluates technical solutions, programs, tests, documents, and maintains applications. Partners with Data Science and Product teams to identify opportunities and deliver solutions. Contributes to engineering standards, efficiency, and maintainability while working with distributed teams.

Designs, develops, and maintains scalable full-stack web applications using React.js and Node.js. Builds reusable frontend components, backend services, APIs, database integrations, authentication, and performance solutions. Uses AI-assisted development tools such as Claude and GitHub Copilot for coding, testing, debugging, documentation, and code review while validating output responsibly. Collaborates across product, design, QA, and engineering teams, mentors junior developers, conducts code reviews, troubleshoots production issues, and contributes to architecture and technical decisions.

Designs, develops, and supports scalable cloud data pipelines, transformations, data models, and reporting datasets. Partners with engineering, business intelligence, and business teams to deliver reliable, governed data solutions. Monitors and troubleshoots production processes, improves performance and reliability, contributes to data quality and documentation standards, and participates in code reviews and engineering best practices.

Leads the architecture, delivery, modernization, and operations of enterprise data platforms, warehouses, databases, and engineering solutions. Designs ETL/ELT and CDC pipelines, manages cloud and database environments, improves reliability, security, scalability, and cost efficiency, and drives migrations and strategic initiatives. Provides technical leadership, mentors engineers, coordinates cross-functional projects, manages incidents and root-cause analysis, supports capacity planning, and collaborates with security, cloud, SRE, analytics, and business teams.

Develop, test, and support scalable APIs and backend services for financial institution integrations. Build reliable software, implement automated tests, troubleshoot production issues, participate in code reviews, and collaborate with Product, Architecture, Security, and SRE teams. Improve observability, automation, security, and operational efficiency while applying modern cloud, distributed-systems, and software engineering practices.

Develops and deploys machine learning and statistical models for financial applications, including transaction classification, temporal analysis, entity resolution, and risk modeling. Responsibilities include analyzing large structured and unstructured datasets, validating and monitoring model performance, creating scalable solutions, communicating findings to business leaders and clients, and applying NLP, deep learning, and data science best practices.

Design, develop, test, and operate scalable APIs and distributed backend services. Contribute to system architecture, production support, secure coding, testing, observability, automation, and operational improvements. Collaborate with Product, Architecture, Security, and SRE teams while owning services independently and maintaining engineering standards.