Software Engineer, Launch Program 2027 – United States
Mastercard
- Location
- OFallon Missouri
- Work model
- On-Site
- Level
- Mid
- Posted
- Aug 24, 2026
Skills
About this role
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, Launch Program 2027 – United States Why join Mastercard’s Launch Program? Over the course of this 18-month program, you'll build specialized expertise through hands-on experience, structured learning, and mentorship from industry leaders. You'll work on real business challenges, applying your skills to projects that create meaningful impact. Along the way, you'll deepen your knowledge of Mastercard's business, collaborate with teams across the organization, and develop the technical, analytical, and professional capabilities needed to accelerate your career. By the end of the program, you’ll have a strong foundation in your chosen field and the confidence to continue to grow here at Mastercard.
About the team
Mastercard’s Software Engineering teams design, build, and optimize high-performing, highly scalable software solutions and products for some of the world's top brands. Using advanced cloud platforms, AI frameworks, and secure blockchain technologies, your work will transcend borders, connecting communities and transforming commerce. What you’ll do As a Software Engineer, you will begin your career building real-world software solutions that support secure, scalable, and high-performing technology platforms. This role is designed for individuals who are excited to learn, grow, and apply software engineering skills in a collaborative environment. You will work alongside experienced engineers, receive structured onboarding and mentorship, and contribute to projects that impact customers globally. You may: • Write clean, maintainable code following established standards and best practices • Contribute to design, development, testing, and deployment of software features • Write basic automated tests to validate expected behavior and quality • Apply secure coding practices and defensive programming techniques • Participate in code reviews and incorporate feedback • Use debugging tools, logs, and documentation to help identify and resolve issues • Learn and work with existing systems, tools, and development workflows • Note: responsibilities, projects, tools, technologies and programming languages will vary by team What we’re looking for • Currently enrolled a Bachelor’s or accelerated Master’s degree in Computer Science, Engineering, or a related field graduating between Dec 2026 – June 2027 • Project-based experience (academic, internship, or personal) using one or more programming languages such as Java, JavaScript, Python, or C# • Advanced proficiency in data structures, algorithms, and core computer science concepts • Familiarity with version control tools (e.g., Git) • Experience or coursework involving automated testing • Strong problem-solving skills and eagerness to learn Please be sure to upload an unofficial copy of your school transcript when submitting your application. 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. For example, students or recent graduates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role. National Salary Range (Applies Regardless of Location): $100,000–$130,000 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender