Top Tech Jobs & Startup Jobs in Pune

Leads software engineering for Mastercard Send, owning complex service-level problems, architecture, secure coding, testing, integration, automation, and production reliability. Writes and reviews code, drives prioritization and agile delivery, improves CI/CD pipelines, conducts troubleshooting and incident postmortems, mentors engineers, guides architecture, supports product acceptance, and participates in hiring and promotion decisions. The role requires cross-functional collaboration across globally distributed teams and ownership of high-availability digital payment services.

Leads technical product strategy for Mastercard’s switching solutions platforms. Defines product vision, roadmaps, features, and customer experiences while partnering with architects, developers, program managers, business stakeholders, and executives. Uses data and KPIs to guide decisions, manage risks, resolve escalations, and improve adoption. Oversees product operations, mentors junior product managers, leads cross-functional initiatives, and represents Mastercard in customer and strategic roadmap discussions.

Develops, tests, validates, and supports large-scale batch and real-time data platforms using Spark, Kafka, and NiFi. Builds resilient data pipelines, validation frameworks, distributed storage solutions, deployment automation, and operational tooling. Optimizes performance, scalability, and reliability; supports production troubleshooting and incident resolution; contributes to architecture, CI/CD, documentation, code reviews, and engineering standards; and mentors junior engineers.

Leads Mastercard’s global software engineering organization, setting technology strategy and roadmaps for enterprise-scale configuration, onboarding, validation, certification, and lifecycle platforms. Oversees modernization, digital transformation, product delivery, engineering excellence, security, reliability, AI adoption, budgets, and organizational development. Partners with product, business, security, architecture, and executive stakeholders to deliver scalable, secure, high-performing platforms and measurable business outcomes.

Lead backend engineer responsible for designing, building, and owning Java-based microservices and full-stack applications on PCF/Kubernetes. Deliver high-quality, secure, scalable code, participate in code reviews, work in Agile teams, and follow Mastercard engineering and 12-factor principles. Collaborate with engineers, testers, TPMs, and PMs while leveraging PostgreSQL/Oracle storage, automated testing, and CI/CD practices.

Own delivery of shared data models and pipelines, lead migration from Hadoop and on-premises ETL to Databricks, manage cross-team dependencies, oversee vendors, maintain legacy platform commitments, and establish planning and reporting practices for a new technical team.

Lead controllership for assigned legal entities, overseeing financial close, balance-sheet governance, statutory reporting, audits and internal controls. Partner with tax, treasury, payroll and business finance to resolve accounting issues, ensure US GAAP/IFRS compliance, drive standardisation and automation, provide accounting guidance, and coach finance staff while communicating risks and results to senior stakeholders and external parties.

Oversee settlement and reconciliation processes for cross-border payment partnerships. Analyze settlement data, accounting impacts, foreign exchange calculations, operational controls, risks, trends, and revenue leakage. Coordinate vendors, banks, financial institutions, agents, and internal stakeholders to resolve issues and support audits, reports, process improvements, and strategic initiatives. Provide technical guidance, contribute to application and procedure changes, escalate urgent issues, and deliver knowledge-transfer sessions to improve team capabilities.

Leads network architecture across the full development lifecycle, producing high-level infrastructure designs, maintaining technology roadmaps, evaluating new products, and ensuring solutions meet performance, scalability, availability, security, and manageability standards. The role identifies technical risks, oversees complex designs, collaborates with delivery and operations teams, and communicates technical concepts to diverse stakeholders.

Lead the design and development of scalable cloud-native data platforms and batch or real-time pipelines supporting AI, machine learning, and Generative AI. Build infrastructure for feature engineering, model training, inference, LLMs, RAG, embeddings, and vector databases. Ensure data quality, governance, security, observability, reliability, and cost efficiency while enabling MLOps and AgenticOps capabilities across enterprise AI initiatives.