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Mastercard

Senior Software Engineer (Sanctions Service & AI Inference)

Vancouver, BC, Canada

Job type: Full-time
Posting language: English
Posted: Sep 29, 2026

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Original job description

Our Purpose

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

Title and Summary

Senior Software Engineer (Sanctions Service & AI Inference)Who is Mastercard?

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.

Overview
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.

Role
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
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.

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
• 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.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

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.

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: $111,000 - $160,000 CAD

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More about this job

Responsibilities

Design, develop, and maintain scalable, high-performance software solutions for sanctions screening and AI-enabled decision products. Collaborate with cross-functional teams to drive technical implementation, mentor engineers, and improve system resiliency and operational excellence.

Requirements

Requires strong software engineering experience with Java and expertise in building scalable distributed systems. Candidates should possess excellent problem-solving skills and a proven ability to provide technical leadership and mentorship.

Skills

Java
Software Engineering
Distributed Systems
AI Engineering
Cloud-native Architectures
Automated Testing
System Resiliency
Technical Leadership
Mentorship
Regulatory Compliance
Risk Management
Payments
Intelligent Automation
Problem-solving
Analytical Skills

Visa sponsorship

Not detected in the job text

Keywords

Java
Software Engineering
AI Inference
Sanctions Screening
Distributed Systems
Cloud-native
Payments
Compliance
Risk Management
Agentic Technologies
Automation
Scalability
Operational Excellence
Mentorship
Technical Leadership
Financial Services
Fraud
Intelligent Automation
System Resiliency

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