Senior Software Engineer (Sanctions Service & AI Inference)

Our Purpose

Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices making transactionssecure 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 Mastercards 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.
Bachelors 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 the US or Canada if you require accommodations or assistance to complete the online application process or during the recruitment process please contact 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 Mastercards 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 Mastercards guidelines.

In line with Mastercards 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: $111000 - $160000 CAD