Senior Software Engineer; Sanctions Service & AI Inference

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build asustainableeconomy 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.

Senior Software Engineer (Sanctions Service & AI Inference)

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

We are seeking a Senior Software/AI Engineer to join our AI & Decision Product Enablement team in Vancouver and help advance Mastercard's Sanctions Screening solutions. This role focuses on building scalable, high-performance services that help financial institutions manage sanctions risk, support regulatory compliance, and enable secure payment processing.

This is an opportunity to work on a highly visible platform while helping shape the adoption of AI-enabled engineering practices across the organization.

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.

• 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.

A key aspect of this role is leveraging AI and agentic technologies to improve engineering effectiveness and accelerate delivery.

You will:

• 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.

• 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.

• 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.