Title and Summary
Software Engineer II (Backend _ Java)
Overview
The Decision Management program enables intelligent, decision-based products through streaming analytics, providing the ability to govern decisions and manage their outcomes with business agility.
The platform leverages business rules and AI engines, streaming big-data technologies, in-memory data grids, APIs, and user interfaces to deliver real-time decisions at global scale.
We are looking for a Software Engineer II to join our DMP team in our Vancouver office.
The successful candidate will contribute hands-on to software design, development, testing, and delivery while collaborating with experienced engineers and supporting the growth of junior team members.
Are you:
• A strong software engineer with experience building 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?
• Passionate about solving complex technical problems and delivering meaningful customer outcomes?
• Interested in building technology that helps prevent fraud across Mastercard transactions globally?
Role
• Design, develop, and maintain application functionality primarily using Java.
• Develop comprehensive unit, integration, and functional tests.
• Apply software engineering best practices to produce well-designed, maintainable, scalable, secure, and testable code.
• Take ownership of assigned features and backlog items from development through testing and delivery.
• Diagnose technical issues and develop creative solutions to complex problems.
• Collaborate with senior engineers and other team members to resolve technical challenges and delivery blockers.
• Participate actively in Scrum ceremonies, including refinement, planning, daily stand-ups, reviews, and retrospectives.
• Provide technical guidance, knowledge sharing, and mentoring to junior engineers.
• Collaborate with stakeholders to communicate development progress, technical considerations, risks, and next steps.
• Contribute consistently toward sprint and iteration commitments and overall team objectives.
• Leverage approved AI-assisted development tools, such as GitHub Copilot and Claude Code, to accelerate development, improve engineering productivity, and enhance code quality.
About You
Essential Knowledge / Experience
• Strong software development and programming skills with solid knowledge of Java.
• Strong knowledge of Spring and related Java frameworks.
• Good understanding of object-oriented design, software design principles, and development best practices.
• Experience with unit-testing and mocking frameworks such as JUnit, Mockito, or EasyMock.
• Good SQL knowledge and experience working with Oracle databases.
• Experience developing and supporting high-performance applications.
• Strong diagnostic, troubleshooting, and creative problem-solving skills.
• Strong organizational skills with the ability to manage multiple priorities within business-driven timelines.
• Experience working in Agile/Scrum development environments and delivering against sprint and backlog commitments.
• Ability to collaborate effectively with engineering teams and technical/business stakeholders.
Desirable Skills
• Knowledge of agentic AI concepts and/or experience building custom AI agents, tools, or skills.
• Experience with testing frameworks such as REST Assured and Selenium WebDriver.
• Experience with IBM ILOG/ODM and Pivotal GemFire.
• Experience with Docker and Kubernetes.
• Experience with Angular.
• Experience with distributed, highly available, or real-time processing systems.
• BS in Computer Science, Software Engineering, or a related field preferred.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program.
Pay Ranges
Vancouver, Canada: $91,000 - $140,000 CAD
