Software Engineer II

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

The Franchise and Legal Solutions (FLS) Program enables growth in Mastercard’s products, markets, services, and innovations while protecting our brand and business in an increasingly complex and competitive environment. The team supports and protects the franchise agreement by implementing the rules of the road for anyone interacting with our business.

As a Software Engineer II, you will combine strong software engineering fundamentals with modern enterprise platforms, automation, data, and AI-enabled engineering to solve complex business problems. You will work across Java/Spring Boot applications, APIs and integrations, cloud platforms, Microsoft Power Platform, and generative AI technologies.

What You'll Do

• Software Development
• Design, build, test, deploy, and support software solutions for medium-sized initiatives and defined components of larger enterprise programs.
• Develop applications, microservices, REST APIs, and system integrations using Java/J2EE, Spring Boot, and related technologies.
• Apply data structures, algorithms, design patterns, and software engineering principles to solve business and technical problems.
• Build automation and business solutions using Microsoft Power Platform, including Power Apps, Power Automate, and Dataverse.
• Create data and analytics solutions using SQL, data modeling, Power BI, and related technologies.
• Use Python and/or TypeScript for automation, application development, data processing, and AI integration.
• Develop enterprise AI applications and workflows using LLMs, generative AI, RAG, and agentic patterns.
• Apply AI-assisted development tools such as GitHub Copilot, Claude Code, or comparable coding agents within engineering workflows.
• Integrate AI models with enterprise applications, APIs, tools, and data sources using technologies and patterns such as MCP servers and tool/API integration.
• Build AI-ready data and retrieval pipelines using technologies such as Databricks, Spark, embeddings, vector search, and knowledge management.
• Create and maintain technical and software development documentation.
• Design & Architecture
• Partner with business and product owners to translate defined requirements into scalable, maintainable solutions.
• Apply established software design and architecture principles, patterns, and standards across applications, services, integrations, data flows, and platform dependencies.
• Determine whether traditional software development, low-code, analytics, automation, AI, or a combination is appropriate for defined problems.
• Build cloud-native solutions and integrate secure, responsible AI capabilities into enterprise applications.
• Design AI components using RAG, vector databases, LLM APIs, MCP/tool integration, and agentic frameworks, considering scalability, reliability, security, and maintainability.
• Simplify technical approaches while balancing business value, complexity, performance, maintainability, and cost.
• Quality & Secure Engineering
• Develop and maintain automated unit, functional, and integration tests using frameworks such as JUnit and Spock.
• Apply secure coding, information security, web application security, and applicable PCI DSS principles throughout the software development lifecycle.
• Review code to improve quality, readability, maintainability, security, and adherence to engineering standards.
• Build and maintain CI/CD pipelines using Git/Bitbucket, Jenkins, Maven, Artifactory, and related tools.
• Incorporate DevSecOps practices across development, testing, deployment, and support.
• Performance & Operational Excellence
• Provide production support and troubleshoot issues across applications, services, integrations, automation, and AI-enabled solutions.
• Use logging, monitoring, and observability practices to diagnose issues and improve operational supportability.
• Analyze and optimize application performance, scalability, reliability, and operational readiness.
• Improve AI solution performance, latency, cost, reliability, quality, and operational health.
• Independently take defined engineering problems through design, development, testing, deployment, and production support.
• Collaboration
• Collaborate with engineering, product, business, security, data, and platform partners to deliver measurable business value.
• Share technical knowledge and engineering best practices across the team.
• Contribute to Scrum or SAFe Agile delivery and help resolve cross-service dependencies and technical challenges.
• Evaluate emerging technologies and identify opportunities for automation, AI, and innovation.
• • Demonstrate the Mastercard Way cultural values described for this role: own it, simplify it, sense of urgency, thoughtful risk-taking, unlock potential, and be inclusive, with a relentless focus on customers.
• Required Qualifications
• At least four years of software development, design, and architecture experience with moderately complex to complex applications.
• Strong software engineering fundamentals, including software design, architecture, data structures, algorithms, design patterns, and system integration.
• Proficiency developing applications, REST APIs, microservices, and enterprise integrations using Java/J2EE and Spring Boot.
• Strong knowledge of unit, functional, and integration testing, including frameworks such as JUnit and Spock.
• Ability to apply secure coding, application security, and information security principles throughout the software development lifecycle.
• Knowledge of code review practices that promote quality, readability, maintainability, security, and engineering standards.
• Understanding of performance engineering, including scalability, reliability, monitoring, and optimization.
• Proven ability to support production applications through observability, monitoring, troubleshooting, and reliability practices.
• Familiarity with CI/CD and DevSecOps practices using tools such as Git/Bitbucket, Jenkins, Maven, and Artifactory.
• Knowledge of cloud, container, and enterprise platform engineering.
• Demonstrated ability to independently take defined engineering problems from solution design through development, testing, deployment, and production support.
• Hands-on use of AI-assisted development tools such as GitHub Copilot, Claude Code, or comparable coding agents.
• Practical knowledge of generative AI and LLM-powered application development, including LLM APIs, RAG, AI agents, MCP servers, and tool/API integrations.
• Proficiency with Microsoft Power Platform technologies, including Power
• Apps, Power Automate, and Dataverse.
• Knowledge of SQL, data modeling, and analytics or visualization technologies such as Power BI.
• Ability to use Python and/or TypeScript for automation, application development, or AI integration.
• 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 01/21/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

 Pay Ranges
• O'Fallon, Missouri: $92,000 - $147,000 USD