Senior Software Engineer

Mastercard is hiring a Senior Software Engineer. Level rates it ; you can apply on Mastercard.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Tools and skills the posting cites include Java, Spring and Junit.
Level classifies it as a senior role.
Level lists 1,000+ other open roles at Mastercard.

AI in this role

Design and develop scalable software solutions, test automation frameworks, and backend components using Java and related technologies.

javaspringjunitrest-assuredjbehavecucumber

software-engineeringtest-automationapi-testingbackend-development

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

Overview
Mastercard’s Network & Digital Payments group creates meaningful digital payment experiences for consumers, merchants, issuers, and partners at global scale.
The Global Product Engineering team builds foundational payment solutions that are secure, resilient, scalable, and operationally reliable. This role is for a Senior Software Engineer who will contribute to the design, development, validation, automation, and operability of high-quality software solutions.
The ideal candidate brings strong software engineering fundamentals, hands-on Java development experience, and a quality-first mindset, with the ability to build automation frameworks, contribute to application design, improve engineering practices, and support production readiness.

Role
As a Senior Software Engineer, you will independently execute key elements of software engineering projects and processes by applying strong technical knowledge, engineering best practices, and problem-solving skills.
You will contribute to building and maintaining scalable software solutions, with a focus on testability, automation, performance, security, resiliency, and operational excellence.

Key Responsibilities
• Design, develop, and maintain high-quality software components, automation frameworks, and engineering tools that improve software delivery confidence.
• Build and enhance automated solutions for unit, functional, integration, API, UI, regression, and end-to-end validation.
• Contribute to software design and architecture discussions with a focus on scalability, testability, reliability, performance, security, and maintainability.
• Develop robust test automation using Java, Spring, JUnit, Rest Assured, JBehave, Cucumber, or similar frameworks.
• Participate in code reviews and provide actionable feedback to improve code quality, security, maintainability, and adherence to engineering standards.
• Collaborate with software engineers, architects, DevOps engineers, product owners, and program teams to understand requirements and deliver business-aligned solutions.
• Create and maintain technical artifacts such as design notes, test strategies, automation plans, integration specifications, and operational readiness documentation.
• Support CI/CD adoption by integrating automated checks into Jenkins, Bamboo, Git-based workflows, code coverage tools, and static analysis platforms.
• Identify gaps across unit, functional, integration, regression, performance, and exploratory validation, and work with engineering teams to address them.
• Contribute to performance engineering by identifying bottlenecks, validating system behavior under load, and supporting tuning efforts.
• Apply secure coding practices and support vulnerability identification using tools such as Sonar, Checkmarx, Fortify, or similar platforms.
• Support production readiness through logging, monitoring, troubleshooting, incident analysis, root cause analysis, and problem resolution.
• Participate in defect triage, release readiness reviews, environment validation, and risk assessment across delivery cycles.
• Evaluate emerging tools, frameworks, and engineering practices; support Proof of Concept efforts and continuous improvement initiatives.
• Contribute to solution and technology roadmaps by providing inputs on automation, quality engineering, observability, performance, and operability improvements.
• Work in an Agile environment, actively participating in sprint planning, daily stand-ups, demos, retrospectives, and release planning.

All About You
The ideal candidate will have hands-on software engineering experience with strong technical depth across development, automation, testing, and delivery practices.

Required Skills and Experience
• 6–9 years of software engineering experience with strong hands-on Java development skills.
• Strong understanding of software development lifecycle, software design principles, data structures, and object-oriented programming.
• Experience designing and developing automation frameworks, reusable test utilities, test harnesses, and engineering productivity tools.
• Hands-on experience with Java, Spring, JUnit, Rest Assured, JBehave, Cucumber, or similar frameworks.
• Strong experience validating APIs, microservices, web services, web applications, databases, and integration flows.
• Good understanding of unit testing, functional testing, integration testing, regression testing, exploratory testing, and acceptance testing.
• Experience integrating automated checks into CI/CD pipelines using Jenkins, Bamboo, Git, Maven, or similar tools.
• Familiarity with code quality, code coverage, and vulnerability scanning tools such as Sonar, Clover, Checkmarx, Fortify, or similar platforms.
• Good understanding of secure coding practices, code review practices, and engineering quality standards.
• Working knowledge of performance engineering concepts, including load testing, bottleneck identification, and system behavior analysis.
• Experience with Linux/Unix environments, shell commands, logs, troubleshooting, and environment validation.
• Strong understanding of REST/SOAP APIs, databases, service integrations, and distributed application behavior.
• Ability to troubleshoot complex technical issues across application, integration, environment, and data layers.
• Strong communication, collaboration, and documentation skills.
• Ability to work independently, manage ambiguity, and deliver under pressure in a fast-paced Agile environment.
• Passion for engineering excellence, continuous improvement, automation, and building reliable software at scale.

Preferred Skills
• Experience with cloud-native applications, containers, Kubernetes, or platform engineering concepts.
• Experience with observability tools such as Splunk, Dynatrace, Grafana, Prometheus, or similar platforms.
• Experience supporting production systems through incident management, root cause analysis, and operational readiness reviews.
• Exposure to payment systems, digital payments, authentication, security, or financial technology platforms.
• Experience contributing to engineering standards, reusable frameworks, shared libraries, or developer productivity platforms.

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.

Pay Ranges

O'Fallon, Missouri: $115,000 - $184,000 USD

How 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.

Classification

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.

Key facts

Senior Software Engineer is an open job at Mastercard.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in O'Fallon, Missouri.
The job was posted on July 16, 2026.
Seniority: senior.
Applications are handled by Mastercard. Apply on Mastercard

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringTest AutomationAPI TestingBackend DevelopmentJavaSpringJunitREST Assured

Also common in software engineer jobs at this level

Python AWS C++TypeScript React Docker

Pay

Typical software engineer job: $168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where test automation was part of your work. What did you do?
Tell me about a project where api testing was part of your work. What did you do?
Tell me about a project where backend development was part of your work. What did you do?
Walk me through how you've used Java in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Engineering, Test Automation, API Testing, Backend Development, and Java. 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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