Top Tech Jobs & Startup Jobs in Pune

Leads enterprise data quality strategy, architecture, platforms, frameworks, observability, governance, and automation. Designs reusable quality capabilities for batch, streaming, cloud, on-premises, and SaaS environments; establishes rules, metrics, alerts, and remediation workflows; integrates quality with metadata, lineage, catalogs, MDM, and data contracts; mentors engineering teams; evaluates tools; and applies AI and machine learning to anomaly detection, root-cause analysis, and trusted AI-ready data platforms.

Build and enhance Ethoca products through design, development, testing, deployment, configuration, and documentation. Own delivery tasks, integrate services, improve operational metrics, develop architectural understanding, and promote engineering standards. Design scalable test automation frameworks, review automation and quality solutions, support shift-left practices, participate in architecture reviews, collaborate with product stakeholders, and mentor less-experienced engineers.

Leads the architecture, development, testing, deployment, and optimization of high-performance C/C++ applications on Unix/Linux. Owns complex technical problems, payment cryptography, HSM integrations, concurrency, memory optimization, and system reliability. Provides technical leadership, mentors engineers, drives secure coding and CI/CD practices, troubleshoots production issues, conducts design reviews, and collaborates with product, QA, and operations teams.

Build and operate a self-service data commercialization platform spanning web experiences, APIs, cloud infrastructure, lakehouse systems, and automation. Develop scalable data platforms using Python, Spark, Databricks, orchestration, Java, React, and cloud services. Design secure, reliable workflows with observability, access controls, infrastructure as code, CI/CD, and multi-cloud architecture. Collaborate on technical trade-offs and integrate distributed systems, databases, and AI-powered capabilities.

Leads the architecture, design, coding, testing, and delivery of scalable, secure, cloud-native software and data distribution platforms. Defines modernization strategy, builds APIs, services, data pipelines, and analytical capabilities, and drives architecture and design reviews. Coordinates globally distributed teams, partners across engineering and business functions, mentors engineers, and promotes reliability, observability, continuous delivery, and engineering excellence.

Hands-on Java developer responsible for designing and implementing SDKs and API services for digital wallet solutions. Collaborate with product management and technical leads, integrate web services, build web and mobile browser applications, mentor engineers, perform code reviews, prototype new technologies, and ensure high code quality within an Agile delivery model.

Own and execute AI product areas for Mastercard’s Payment Performance Intelligence platform, from discovery and technical requirements through launch and iteration. Partner with Data Science, Engineering, Platform, Commercial, Risk, Legal, Security, and Compliance teams to develop GenAI, chatbot, agentic service, predictive insight, and self-service analytics capabilities. Manage roadmaps, backlogs, prioritization, success metrics, stakeholder communications, and responsible AI requirements while mentoring junior product professionals.

Leads the engineering strategy, modernization, delivery, and operational readiness of Mastercard’s Consumer Data Management platform. Oversees global software engineering teams and mission-critical services spanning identity, consent, consumer data, and engagement. Establishes architecture, engineering standards, security and privacy controls, reliability practices, production support, and measurable delivery outcomes. Partners with product, architecture, security, privacy, compliance, regional teams, and third-party providers while developing senior engineering talent and driving platform scalability, resilience, reuse, and operational excellence.

Build and operate scalable cloud data and lakehouse platforms, including self-service interfaces, automation, APIs, infrastructure, governance, and security. Develop backend services with Java and Spring Boot, web experiences with React and TypeScript, and data solutions using Python, Spark, Databricks, and orchestration tools. Design reliable workflows, distributed systems, integrations, and cloud infrastructure across AWS and/or Azure. Contribute to architecture, observability, testing, cost optimization, and AI-powered platform capabilities.

Manages net revenue accounting services, including contract review, revenue and incentive validation, month-end close, journal entries, reconciliations, variance analysis, reporting, and SOX compliance. Partners with global business units and financial systems teams, supports Oracle and CRS processes, monitors performance, and drives accounting process improvements. Provides accurate, timely service in a fast-paced global environment.