Description
Mastercard is seeking a Senior Software/AI Engineer to join its AI & Decision Product Enablement team in Vancouver. The role focuses on building scalable, high-performance services that help financial institutions manage sanctions risk, support regulatory compliance, and enable secure payment processing.
As a Senior Software/AI Engineer, you will design, develop, and support business-critical software systems that operate at global scale. You will work closely with engineering, product, compliance, and operations teams to deliver reliable, secure, and innovative solutions.
Key responsibilities:
- Design, develop, and maintain scalable, secure, and high-performance software solutions.
- Drive technical design and implementation of new product capabilities and platform improvements.
- Participate in all stages of the software development lifecycle, including design, development, testing, deployment, and production support.
- Lead technical discussions, perform code reviews, and promote engineering best practices.
- Troubleshoot complex technical issues and drive root-cause analysis and resolution.
- Mentor and coach engineers through technical guidance, knowledge sharing, and hands-on leadership.
- Collaborate with cross-functional teams to deliver solutions that meet business, security, and compliance requirements.
- Improve system resiliency, scalability, operational excellence, and cloud readiness.
AI Engineering Focus:
- Use AI-assisted development tools to improve software delivery, testing, troubleshooting, and documentation.
- Identify and implement opportunities to automate engineering and operational workflows.
- Develop reusable AI-enabled solutions that improve productivity and reduce operational overhead.
- Establish best practices for responsible AI adoption with emphasis on trustworthy models and harness engineering.
- Ensure AI-assisted solutions maintain high standards of quality, security, transparency, and human oversight.
Qualifications required:
- Strong software engineering experience with Java and modern application development frameworks.
- Experience designing and building scalable, highly available distributed systems.
- Strong problem-solving, analytical, and technical design skills.
- Experience with automated testing and software quality practices.
- Strong understanding of software reliability, performance, and security principles.
- Proven ability to mentor engineers and provide technical leadership.
- Excellent communication and collaboration skills.
Preferred qualifications:
- Experience in payments, compliance, fraud, risk management, or financial services.
- Experience with cloud-native architectures and modern software delivery practices.
- Experience using AI-assisted development tools, agentic workflows, or intelligent automation solutions.
- Experience working in highly regulated and mission-critical environments.
- Bachelor's degree in Computer Science, Engineering, or a related discipline.
What success looks like:
- Delivering reliable, scalable, and secure sanctions-screening capabilities that support business growth and regulatory compliance.
- Improving engineering productivity through effective use of AI and automation.
- Raising the technical capability of the team through mentorship and technical leadership.
- Driving measurable improvements in service reliability, operational efficiency, and customer outcomes.
- Helping establish a modern AI-enabled engineering culture that balances innovation with strong governance and operational excellence.