MastercardManager, Software Engineering
Mastercard is hiring a Manager, Software Engineering in Vancouver, Canada. It pays CAD 127k-CAD 203k a year and Level rates it ; you can apply on Mastercard.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Java, C and AI agents among its tools and skills.
- Level classes it as a lead role.
- Mastercard has 1,100+ other open roles on Level.
AI in this role
Lead software engineering teams building real-time sanctions screening solutions while adopting AI-assisted development workflows.
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
Manager, Software EngineeringWho 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 Manager, Software Engineering to lead the development and evolution of Mastercard's Sanctions Screening solutions. These solutions help financial institutions assess sanctions risk for payment transactions in real time, supporting regulatory compliance, risk management and secure global payment processing.
This role is a hybrid of roughly 70% technical leadership and 30% people management. The successful candidate will remain deeply involved in system solutioning, technical designs, engineering execution and continuous improvement on AI assist software development workflow while also building, mentoring and leading a high-performing engineering team(of 7 people now)
Key Responsibilities
Technical Leadership (70%)
• Own the technical direction, architecture and delivery strategy for the Sanctions Service platform, built in Java and C++ primarily.
• Lead the design and implementation of scalable, reliable and secure software solutions meeting the common of enterprise standards.
• Drive engineering excellence through design reviews, code quality, operational readiness and best practices.
• Partner with Product, Architecture, Compliance and Operations teams to deliver business-critical capabilities.
• Lead incident response, root cause analysis and continuous improvement initiatives.
• Drive modernization efforts focused on scalability, resilience, cloud readiness and operational efficiency.
• Serve as the senior technical escalation point for complex engineering and production challenges.
AI & Agentic Engineering
• Define and execute a strategy for adopting AI-assisted and agentic engineering capabilities across the software development lifecycle.
• Leverage AI tools to improve software delivery, testing, operational support, documentation and developer productivity, focusing on achieve faster iteration on requirements gathering, specification elaboration and concepts validation
• Identify opportunities to automate engineering workflows and reduce operational overhead.
• Establish guardrails and governance for responsible AI adoption, including security, transparency and human oversight.
• Foster a culture of experimentation and innovation while maintaining strong compliance and risk controls.
People Leadership (30%)
•Lead and develop a high-performing team of software engineers.
• Conduct regular coaching, career development discussions and performance management activities.
• Create an inclusive, accountable and psychologically safe team culture.
• Partner with recruiting to attract, retain and develop top engineering talent.
• Drive planning, prioritization and execution of team roadmaps and delivery commitments.
• Establish clear goals, expectations and ownership across the team.
Qualifications
Required
• Proven experience leading software engineering teams and delivering large-scale enterprise software solutions.
• Strong technical background with experience designing distributed, highly available systems.
• Demonstrated ability to balance hands-on technical leadership with people management responsibilities.
• Experience managing product roadmaps, business priorities, engineering deliverables and technical risks.
• Strong communication, collaboration and stakeholder-management skills.
• Experience with Agile software development and modern engineering practices.
• Passion for mentoring engineers and building high-performing teams.
Preferred
• Experience in payments, financial services, compliance, fraud, sanctions screening or risk management will be a great bonus.
• Experience leveraging AI-assisted development tools, agentic workflows or intelligent automation solutions.
• Experience operating services in regulated, security-sensitive environments.
• Knowledge of cloud platforms, DevOps practices and modern observability tooling.
• Bachelor’s in computer science, Engineering or a related discipline.
What Success Looks Like
• A high-performing engineering team with strong engagement, accountability and technical excellence.
• Predictable delivery of secure, scalable and reliable Sanctions Service capabilities.
• Successful adoption of AI-enabled engineering practices proven by industries that improve productivity and delivery quality.
• Measurable improvements in platform resilience, operational efficiency and customer outcomes.
• Strong alignment across engineering, product, compliance and operational stakeholders.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.
Pay Ranges
Vancouver, Canada: $127,000 - $203,000 CADHow we rate this
Manager, Software Engineering at Mastercard rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- How do you think about the risk of an AI system in this kind of role failing silently?
- What's a project where you used Java hands-on?
- Walk me through how you've used C in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, AI Automation, AI Safety, Java, and C. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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