Senior Software Engineer; Full-Stack - Java, React

Senior Software Engineer (Full-Stack - Java, React) About the role

The AI & Decision Engineering Platform powers intelligent, real-time decisioning for Mastercard’s fraud prevention and identity validation solutions. This program enables streaming analytics, governed decision-making, and outcome management with business agility at global scale. Our platform leverages business rules engines, AI-driven decisioning, streaming big data clusters, in-memory data grids, APIs, and intuitive UIs to deliver decisions in milliseconds across billions of transactions worldwide.

As a Senior Software Engineer, you will play a critical role in designing and implementing high-performance, cloud-ready solutions, mentoring team members while remaining hands-on with coding, testing, and design. This is a hybrid position based in Vancouver, requiring three days on-site per week. We are looking for a Senior Software Engineer to join our AI & DPE platform for the Decision Operations product in the Vancouver office.

• Own software delivery tasks (design, development, test, deployment, support, documentation, configuration) at an application/software component level
• Full stack developer that can code front end and REST API/backend applications
• Participate in all scrum ceremonies using SAFe Agile methodology
• Drive code/design/process trade-off discussions within the team when required
• Drive adoption of engineering principles, technology standards and best practice, review coding, test, and automation work of team members
• Develop a complete understanding of end-to-end technical architecture and dependency systems
• Mentor and guide new and less-experienced team members
• Write code to do unit testing, mutation testing, integration testing, functional and regression testing
• Provide support by troubleshooting production incidents and implementing corrective and preventive actions
• Share and seek knowledge within the guild/program to drive reuse of patterns, libraries, practices and enhance productivity

• Technical programmer with experience working on high-performance applications
• Excited about getting a 360 degree view of the coding world – writing code to develop a piece of code as well as write code to test it
• Want to be part of a team that helps prevent fraud on every Mastercard transaction in this world
• Experienced developer able to write secure code in three or more languages (e.g., Java, React, SQL) and familiar with secure coding standards (e.g., OWASP, CWE, SEI CERT) and vulnerability management
• Excellent knowledge of Spring and other frameworks
• Understanding of GoF design patterns to implement efficient code
• Familiar with different application patterns: APIs, event-driven services, batch services, web applications, big data
• Understanding and implementation of API, gRPC standards and cataloging to drive API/service adoption and commercialization
• Experience applying tools such as Sonar, Zally, Git Hub Advanced Security, Checkmarx to scan and measure code quality and anti-patterns as part of development activity
• Ability to elaborate, estimate, and implement non-functional requirements: security (data protection, authentication, authorization), regulatory, performance (SLAs, throughput)
• Experience orchestrating release workflows and pipelines, applying standardized pipelines via APIs to achieve CI/CD using industry-standard tools (e.g., Jenkins)
• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Excellent problem-solving with creative troubleshooting skills
• Strong organizational skills; able to manage multiple tasks within constraints and timelines determined by business needs
• Passionate about continuous improvement and delivering results

• Experience with monitoring tools like Splunk, Dynatrace, Prometheus, Loki, Tempo, Druid, Grafana, Superset
• Experience in performance testing using JMeter/Blazemeter and developing cloud-native apps using Docker, Kubernetes, AWS
• Experience using Redis, Kafka

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation,…