MastercardSenior Software Engineer (Data Platforms)-2
AI in this role
Senior software engineer building data platform self-service experiences and cloud infrastructure with some AI-powered capabilities.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, 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)-2Who 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.
How we rate this
Senior Software Engineer (Data Platforms)-2 at Mastercard rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where full stack was part of your work. What did you do?
- Tell me about a project where cloud engineering was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where microservices was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Full Stack, Cloud Engineering, Distributed Systems, and Microservices. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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