Senior Software Engineer (Data Platforms)-1

Mastercard; Pune District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Mastercard in Pune seeks a Senior Software Engineer to drive data platform capabilities, self-service experiences, and automated governance in a multi-cloud setting.

You will own full-stack development across Java (Spring Boot) and React, work with Spark, Databricks, and lakehouse technologies, and collaborate with security, data, and platform teams to deliver scalable, reliable solutions.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field with 6+ years of experience.
• Strong back-end development with Java and Spring Boot.
• Experience with React and TypeScript/JavaScript for front-end.
• Cloud engineering with AWS and/or Azure including Kubernetes and IAM.
• Experience with data platforms, Spark, Databricks, and lakehouse tech.

Responsibilities

• Develop full-stack solutions in a multi-cloud environment.
• Build and operate data lakehouse platforms using Spark and Databricks.
• Implement CI/CD, IaC, and security across cloud services.
• Collaborate with stakeholders to design scalable architectures.

Skills

Java

Spring Boot

REST APIs

React

TypeScript

AWS

Azure

Kubernetes

Terraform

CI/CD

Observability

Spark

PySpark

Databricks

Unity Catalog

Iceberg

Delta Lake

Airflow

Kafka

Flink

Trino

Snowflake

GraphQL

AI-powered development

Education

Bachelor's degree in Computer Science/Software Engineering

Tools

Unity Catalog

Apache Airflow

Delta Lake

Apache Iceberg

Databricks

Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Software Engineer (Data Platforms)-1

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Our decency quotient, or DQ, drives our culture and everything we do. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

About the Role

The Mastercard's Data Commercialization Platform team is looking for a Senior Software Engineer to build the platform's self-service experience and control layer replacing manual, multi-team request processes with a governed, automated web experience, extended with data-intensive and AI-powered capabilities.

This is a hands-on, full-stack role spanning front-end and back-end development in a multi-cloud environment.

The platform provisions and governs cloud and lakehouse infrastructure for enterprise users. The role requires deep expertise in cloud platforms, including compute, networking, identity, storage and security. Candidates must understand how these services work together to deliver scalable, secure and reliable solutions.

All About You

Bachelor's degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience), with 6+ years of experience building scalable, reliable software in agile environments using distributed systems, microservices, and RESTful APIs.

Strong back-end development expertise in Java (Core Java, Spring Boot, REST APIs) and front-end development with React and TypeScript/JavaScript, including responsive design, accessibility, and performance optimization.

Deep hands-on cloud engineering experience on AWS and/or Azure, including Kubernetes, networking, identity and access management, storage, security, infrastructure-as-code (Terraform, CloudFormation, or CDK), CI/CD, observability, and cost optimization.

Experience building and operating modern data and lakehouse platforms using Python, Spark/PySpark, Databricks, Unity Catalog, Apache Iceberg or Delta Lake, object storage, and workflow orchestration tools such as Apache Airflow.

Experience with streaming and distributed data technologies such as Kafka, Flink, Trino, EMR, or Snowflake is a plus.

Experience designing workflow orchestration platforms, automation frameworks, or long-running stateful processes, including retries, idempotency, reconciliation, and integration with external systems through REST or GraphQL APIs.

Exposure to AI-powered development, including LLM-based applications, retrieval-augmented generation (RAG), agentic frameworks, and evaluation techniques.

Experience with relational and NoSQL databases, query optimization, caching, asynchronous processing, and application scalability patterns.

Strong engineering fundamentals, including secure coding practices, access control models, automated testing, observability, and troubleshooting across application, API, data, and cloud layers.

Ability to evaluate technical trade-offs, contribute to architecture and design discussions, and communicate complex solutions to engineering, security, platform, and business stakeholders.

Experience using AI coding assistants and modern developer productivity tools to accelerate software delivery and improve code quality.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.