Top Tech Jobs & Startup Jobs in Pune

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.

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.

Build and maintain scalable full-stack, data-intensive applications for Mastercard’s experimentation platform. Develop frontend, backend, APIs, and data-processing layers using Java, Spring Boot, TypeScript, React, Databricks, and Spark. Contribute to architecture, system design, testing, code reviews, performance optimization, and operational excellence. Collaborate with Product, Data Engineering, QA, and global development teams to deliver analytics-driven solutions, mentor colleagues, and improve engineering quality and scalability.

Leads global product management for Mastercard Send platform capabilities covering authorization, clearing, and billing. Owns product lifecycle, roadmap, business requirements, documentation, training, customer implementation guides, and ongoing development. Partners with regional teams, customers, operations, technology, and service management to deliver integrated payment solutions. Translates product requirements into technical specifications, prioritizes capabilities, manages agile and waterfall development efforts, and educates internal commercial and delivery teams.

Lead design and build cloud-native batch and real-time data platforms. Develop scalable ETL/ELT and streaming pipelines (Spark, Kafka, Flink), ensure data quality, governance, observability, security, cost optimization, and drive platform engineering excellence and team mentorship.

Provide second-line oversight of Mastercard Europes operational risk and controls across technology and non-technology domains. Lead application of ORC/ERM frameworks, oversee RCSAs, review control design and testing, monitor remediation, support regulatory engagements, produce management reporting, and ensure risk data and documentation meet regulatory and governance standards.

The Lead Software Engineer will drive customer experience through full stack development, leveraging microservices and cloud technology while mentoring teams and ensuring quality benchmarks are met.

Modernize security operations by building SOAR playbooks, AI-augmented investigation workflows, prompt libraries, Jupyter notebooks, response tooling, and integrations across SIEM, EDR, identity, ticketing, threat intelligence, and AI platforms. Partner with SOC and DFIR teams to automate high-effort processes, support major incidents, optimize response outcomes, maintain reusable tooling, and contribute to product roadmaps and technical documentation.

Leads engineering strategy and delivery for a high-volume fraud detection platform. Manages cross-functional software teams, mentors engineers, oversees the full development lifecycle, and drives DevOps, CI/CD, observability, reliability, incident response, and continuous improvement. Partners with product and business stakeholders on roadmaps, budgets, and priorities while communicating technical direction to executives. Requires expertise in scalable distributed systems, cloud infrastructure, secure architecture, digital payments, and engineering transformation.

Develop and maintain secure, high-quality software components for Mastercard’s unified UI platform. Responsibilities include coding, testing, deployment, troubleshooting, refactoring, automation, API integration, release pipeline orchestration, and architecture understanding. The engineer will contribute to Agile processes, conduct demos, improve operational metrics, promote engineering standards, review code, mentor team members, and collaborate with product owners to deliver reliable, accessible customer experiences.