Top Tech Jobs & Startup Jobs in Pune, MH

Manage lifecycle and delivery of Mastercard Prepaid Management Services digital platforms (websites and mobile apps). Drive product feature development, launch new sites/apps, improve UX using data-driven insights, collaborate with regional product, engineering, marketing and legal teams, oversee documentation, and support post-launch reviews and platform consolidation.

Leads the architecture, design, and delivery of secure, scalable, resilient infrastructure across data center, hybrid cloud, and distributed environments. Partners with engineering, security, networking, cloud, product, and program teams to deliver modernization initiatives, automation, Infrastructure-as-Code, platform standardization, and operational excellence. Develops architecture standards and roadmaps while ensuring availability, compliance, disaster recovery, performance, and security for mission-critical platforms.

Leads end-to-end delivery of complex technical initiatives for Mastercard’s Automatic Billing Updater platform. Coordinates multiple Agile/Scrum teams, manages roadmaps, dependencies, risks, delivery commitments, retrospectives, and stakeholder communications. Develops execution plans, improves delivery processes, and serves as the source of truth for project status. Requires strong technical understanding of platforms, software engineering challenges, payments, and distributed systems.

Leads development of secure, scalable big data pipelines and data engineering solutions using Spark, Scala, Python, Java, Hadoop, object storage, and NiFi. Drives data ingestion, movement, access automation, engineering standards, and process improvements. Collaborates with stakeholders and distributed teams, resolves production incidents, performs root-cause analysis, evaluates new technologies, and provides technical leadership to junior engineers.

Build and maintain large-scale backend data systems, batch and streaming pipelines, datamarts, and cloud data workloads. Develop AI-powered agents for anomaly detection and workflow automation, using Scala, Python, Java, Spark, Cloudera, Databricks, and AWS. Support platform reliability, data integrity, downstream analytics, documentation, Agile collaboration, and team mentoring.

Designs, develops, and maintains Java-based test automation frameworks for payment processing platforms. Builds functional, API, integration, regression, UI, and end-to-end test suites covering authorization, clearing, tokenization, and payment workflows. Integrates automated tests into CI/CD pipelines, manages test data and environments, analyzes failures, and collaborates with engineering teams to improve software quality and automation efficiency.

Design, develop, test, and support Java payment-processing applications and APIs. Build automated validation frameworks for authorization, clearing, tokenization, settlement, ISO 8583 messaging, and transaction flows. Collaborate with customers and cross-functional teams on integrations, onboarding, testing, and production readiness. Troubleshoot complex defects, contribute to architecture and CI/CD, guide junior engineers, and own features through production support.

Lead technical program delivery for Mastercard’s eCommerce payment products and platforms. Manage multiple cross-functional technology programs from planning through completion, coordinate engineering and dependent teams, define roadmaps, mitigate risks, resolve blockers, and communicate status to senior leadership. Partner with product managers, engineers, architects, customers, and vendors while making business and technical trade-offs. The role requires strong cloud-native platform knowledge, agile delivery experience, technical software engineering understanding, and 12+ years of technical program delivery experience.

Build data engineering solutions that ingest, aggregate, unify, and analyze high-volume data from diverse sources. Develop data pipelines and models using Cloudera, Databricks, AWS, Hadoop, Python, and SQL. Partner with product, data science, platform, technology, client, and sales teams to deliver actionable insights, prototypes, business intelligence, and innovative cyber, fraud, security, and digital identity products.

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.