Software Engineer II

AI in this role

databricks

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

Software Engineer II

Overview:
Mastercard’s Business Experimentation and Optimization (BE&O) teams within the Services organization is seeking a technically strong Software Engineer II to help design, build, and evolve a next-generation experimentation platform that enables organizations around the world to make smarter, data-driven decisions.
In this role, you will contribute across the full software development lifecycle, from architecture and system design through implementation, testing, and continuous improvement. You will build scalable, cloud-native applications, APIs, and data-processing capabilities using technologies such as Java, Spring Boot, TypeScript, React, Databricks, and Spark, with cloud platforms including AWS and Azure.
The Business Experimentation and Optimization (BE&O) is building industry-leading software that empowers business users around the world to make data-driven decisions through advanced analytics and experimentation. As we expand our product offerings and modernize our technology stack, we are reimagining how we deliver scalable, cloud-native solutions to our clients.
Our teams are small, agile, and empowered to choose the processes that work best for their goals. Every engineer contributes to the full development lifecycle, from ideation and design to implementation and testing, fostering a culture of ownership, innovation, and continuous improvement.
This is a hybrid role based in Arlington, VA, requiring three days per week onsite.

Role:
• Design, develop, and maintain scalable full-stack applications across frontend, backend, API, and data-processing layers using technologies such as Java/Spring Boot, TypeScript, and React.
• Build and enhance scalable services and APIs that support experimentation, analytics, and data-driven decision-making.
• Develop and optimize data-intensive applications using Databricks, Spark, and related technologies to process, transform, and serve large-scale datasets efficiently.
• Contribute to architecture and system design, evaluating technical tradeoffs and helping deliver solutions that are scalable, reliable, secure, and maintainable.
• Build innovative software products that help global businesses generate insights, test ideas, and make better decisions through experimentation.
• Translate business and product requirements into well-designed technical solutions in partnership with Product, Data Engineering, QA, and other stakeholders.
• Write clean, maintainable, and efficient code while applying strong engineering practices across development, testing, code reviews, and deployment.
• Identify and resolve performance, scalability, and reliability challenges across applications, APIs, services, and data-processing workloads.
• Participate in the full development lifecycle, from technical discovery and design through implementation, testing, production support, and continuous improvement.
• Contribute to a culture of engineering excellence by sharing knowledge, supporting teammates, and helping improve development practices and developer productivity.
• Stay current with emerging technologies and engineering practices, identifying opportunities to improve the platform’s capabilities, scalability, and overall quality.

All About You:
• Experience as a Software Engineer building and supporting full-stack applications in a modern software development environment.
• Hands-on experience with Java and Spring Boot, including developing backend services, APIs, and application components.
• Experience with modern frontend technologies such as TypeScript and React.
• Experience or familiarity with Databricks, Apache Spark, or PySpark, particularly for data processing, analytics, or data-intensive applications, is highly desirable.
• Strong foundation in object-oriented programming, API development, software design, and engineering best practices.
• Understanding of scalable and distributed systems, including considerations around performance, reliability, maintainability, and efficient data processing.
• Ability to work across the application, service, and data layers, understanding how different components come together to deliver end-to-end solutions.
• Strong analytical and problem-solving skills, with the ability to break down complex technical challenges, evaluate tradeoffs, and develop effective solutions.
• Demonstrated ability to write clean, maintainable, testable code and contribute effectively to code reviews and quality-focused development practices.
• Strong communication and collaboration skills, with the ability to work effectively with Product, Data Engineering, QA, and other technical and business stakeholders.
• Curious and adaptable, with a growth mindset and willingness to learn new technologies, explore unfamiliar problems, and take on increasing levels of responsibility.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or equivalent practical experience.

This role is not eligible for Mastercard’s work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship.

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

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.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 12/07/2026. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Pay Ranges

Arlington, Virginia: $106,000 - $169,000 USD

How we rate this

Software Engineer II at Mastercard rates 20 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.

Classification

Little AI. AI is not part of the work.