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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - Java Full Stack & AI - **Company:** Mastercard - **Location:** O'Fallon, MO, United States - **Experience:** Expert - **Salary:** $115,000.0 - $184,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Cloud Computing, Cloud Engineering, Software Quality, Code Review, Cyber Security, Continuous Integration, Database Applications, Database Development, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, Oracle (Applications), Azure Machine Learning, Secure Coding, Software Engineering, Software Systems, SQL Databases, Web Applications, Enterprise Software Applications, GitHub Copilot, ReactJS, Apache Spark, Spring-boot, Software Troubleshooting, Backend, Data Lakes, AngularJS, Kubernetes, Information Technology, Data Analytics, Front End Software Development, Restful APIs, Docker, Service Stack, Databricks, Microservices - **Published:** October 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=dbc5b57747195bb1 ## About the Role * Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent experience. * 6+ years developing enterprise software solutions. * Advanced proficiency in Java 8+ and Spring Boot. * Deep understanding of REST APIs, microservices, and distributed systems. * Strong knowledge of React, Angular, or comparable frontend frameworks. * Expertise in Oracle or SQL-based database development. * Familiarity with CI/CD practices and modern engineering workflows. * Knowledge of Python for AI, automation, and data-driven applications. * Exposure to GitHub Copilot or similar AI-assisted development tools. * Strong troubleshooting, debugging, and analytical capabilities. * Ability to independently deliver complex technical solutions with minimal oversight. Preferred Qualifications * Experience with AWS, Azure, or GCP. * Knowledge of Docker, Kubernetes, and cloud-native architectures. * Exposure to Databricks, Spark, Delta Lake, or similar technologies. * Experience integrating AI/ML services, APIs, or models into enterprise platforms. * Experience mentoring engineers and leading technical initiatives. * Background in payments, fraud, analytics, or data-driven business solutions. ## Description The Decision Services Technology team within Mastercard's Business & Market Insights organization develops analytics, reporting, and intelligence solutions that help customers investigate transactions, identify fraud patterns, and make informed business decisions. As part of a rapidly growing product area, the team is investing heavily in AI-powered capabilities that automate manual analysis and improve customer outcomes. Supporting a product with significant growth and a multi-year roadmap, engineers on this team play a key role in developing, enhancing, and scaling innovative solutions across full-stack, cloud, data, and AI technologies. As a Senior Software Engineer, you will independently deliver complex solutions, influence technical design decisions, and help drive engineering excellence across the platform. This role requires deep technical expertise, strong ownership, and the ability to mentor other engineers while operating with minimal guidance. What You'll Do Software Development * Design, develop, test, deploy, and support complex software solutions. * Build scalable APIs, backend services, and modern web applications. * Utilize Java, Spring Boot, React or Angular, and Python across the technology stack. * Lead implementation efforts for AI-enabled capabilities and automation initiatives. * Drive technical solutions from requirements through deployment. Design & Architecture * Contribute to architecture decisions and system design discussions. * Apply architectural patterns that support scalability, reliability, and maintainability. * Guide technical implementation across distributed and cloud-based systems. * Support integration of AI and machine learning capabilities into business products. Quality & Operational Excellence * Champion testing, secure coding, and code quality standards. * Conduct code reviews and mentor engineers through technical feedback. * Lead troubleshooting efforts and root-cause analysis for complex issues. * Improve observability, automation, performance, and operational readiness. * Drive continuous improvement initiatives across the engineering lifecycle. Collaboration & Leadership * Partner closely with Product, Architecture, and Engineering leadership. * Serve as a technical mentor for less experienced engineers. * Influence technical direction and engineering best practices. * Contribute to Agile planning, estimation, and delivery leadership., A successful Senior Software Engineer will: * Independently deliver complex features and technical initiatives. * Demonstrate ownership of key systems, services, or technical domains. * Mentor team members and elevate engineering quality. * Contribute to AI-powered product innovation and platform growth. * Improve scalability, reliability, performance, and operational excellence. * Influence engineering standards and technical direction across the team., 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.