MastercardSenior Software Engineer
Mastercard is hiring a Senior Software Engineer in Arlington, United States. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
- Tools and skills the posting cites include Copilot, Java and Spring Boot.
- Level classifies it as a senior role.
- Level lists 967 other open roles at Mastercard.
AI in this role
Design, build, and scale real-time full-stack web applications and portfolio analytics platforms at Mastercard.
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 EngineerOverview:Mastercard’s Portfolio Intelligence team is seeking a Senior Software Engineer with strong full-stack experience to design, build, deploy, and scale real-time, interactive applications used by thousands of clients worldwide. Our applications empower customers to benchmark portfolio performance, track key performance indicators, and generate insightful dashboards and reports using Mastercard’s rich data assets.
Our next-generation platform combines industry-leading analytics, modern software architecture, and the latest web technologies. As a Senior Software Engineer, you will play a key role in a rapidly growing organization, working alongside experienced and highly motivated engineers to solve complex technical and business challenges.
Our engineers work in small, flexible, collaborative teams, where every team member contributes to the design, development, testing, and delivery of features. We embrace an Agile approach, continuous integration, and continuous delivery, with teams owning solutions end-to-end.
The work spans the full technology stack—from building modern web experiences and developing server-side services to designing databases and optimizing data-intensive applications. We value autonomy, collaboration, and continuous improvement, and encourage teams to adopt processes that best support their projects and customers.
This is a hybrid role based in Arlington, VA, requiring three days per week onsite. You will collaborate closely with teams in Arlington, VA; New York City, NY; and Pune, India.
Role:
• Design, build, test, deploy, and enhance full-stack applications using Java, Spring Boot, React, Angular, PostgreSQL, SQL, and Snowflake.
• Develop scalable microservices, REST APIs, and distributed systems that support real-time analytics, reporting, and data-driven applications.
• Build intuitive, responsive, and high-performing user interfaces that transform complex data into meaningful insights and deliver exceptional customer experiences.
• Translate business and product requirements into secure, scalable, maintainable, and testable software solutions.
• Design, develop, and optimize database structures, queries, and data models for large-scale, data-intensive applications.
• Apply strong software engineering principles, including object-oriented design, design patterns, data structures, algorithms, automated testing, code reviews, and CI/CD.
• Collaborate with Product Managers, Architects, Engineers and other stakeholders across global teams to deliver customer-focused solutions.
• Continuously improve application performance, reliability, security, observability, and operational excellence.
• Contribute to Agile planning, estimation, prioritization, and delivery while taking ownership of technical outcomes.
• Leverage AI-assisted development tools, including tools such as GitHub Copilot, to accelerate coding, refactoring, testing, debugging, documentation, code reviews, and other software development activities, with appropriate engineering judgment and human oversight.
• Mentor team members, share technical knowledge, and help foster a culture of engineering excellence and continuous improvement.
All About You:
• Extensive experience developing enterprise-scale full-stack applications, with strong expertise across backend services, frontend development, and database technologies.
• Extensive experience designing and developing Java applications, Spring Boot services, RESTful APIs, and microservices in enterprise environments.
• Strong hands-on experience with React, Angular, JavaScript/TypeScript, and responsive web application development.
• Proven experience designing and developing modern, responsive, and intuitive user interfaces that deliver engaging and effective user experiences.
• Strong database design, data modeling, SQL, PostgreSQL, Snowflake, query optimization, and performance tuning skills.
• Strong understanding of microservice architecture, distributed systems, API design, and cloud-native development practices.
• Strong understanding of object-oriented design principles, design patterns, data structures, algorithms, and software architecture.
• Experience designing and developing event-driven applications, scalable distributed systems, and data-intensive applications.
• Experience using AI-assisted software development tools, such as GitHub Copilot, to improve productivity and software quality across coding, refactoring, testing, debugging, documentation, and delivery.
• Strong understanding of modern software engineering practices, including automated testing, CI/CD, Git-based development, code reviews, observability, and operational readiness.
• Demonstrated ability to operate effectively in an Agile engineering environment, contributing to collaborative technical decision-making and continuous improvement.
• Ability to work independently, manage competing priorities, and make thoughtful technical decisions with minimal supervision.
• Strong communication and collaboration skills, with the ability to explain technical concepts and influence decisions across technical and non-technical audiences.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, 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.
Pay Ranges
Arlington, Virginia: $132,000 - $212,000 USDHow we rate this
Senior Software Engineer at Mastercard rates 0 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. Read the description and count the AI tools, models and workflows it names.
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Skills and AI tools this role asks for
Pay
- Typical software engineer job
- $167k
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- Tell me about a project where rest apis was part of your work. What did you do?
- Tell me about a project where agile was part of your work. What did you do?
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- List these exact terms on your resume: Full Stack, Software Engineering, Microservices, REST APIs, and Agile. 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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