980,327open jobs
58,731companies
157,765added this week
Browse all
Salary
≈ $70k – $162k per year (Estimated)
Location
In office (Vancouver)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 30, 2026. First seen by Alion on Sep 29, 2026. Mastercard scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mastercard is an American payments technology company whose origins date to 1966, when a group of banks formed the Interbank Card Association to compete with BankAmericard. Like its main rival it does not issue cards or extend credit; it operates the network that authorises, clears and settles transactions between issuing banks, acquirers and merchants in more than two hundred countries. Headquartered in Purchase, New York, the company has built a large services business alongside the core network, covering fraud and identity products through its Ethoca and RiskRecon acquisitions, open banking, consulting and loyalty programmes.

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 Engineering (Sanction Service)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 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 [email protected] 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: $127,000 - $203,000 CAD
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
980,327 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Management
Similar stack
Same company
Vancouver
≈ $44k – $112k per year (Estimated) • Remote (Canada) • 1+ year exp • Bachelor's Degree • Markham
Management
Microsoft Office
Apply
Team Lead, Design 7 hours ago
≈ $64k – $165k per year (Estimated) • Remote (Canada, ET hours) • Full-Time
Design
Figma
Apply
≈ $102k – $185k per year (Estimated) • Hybrid • Full-Time • 10+ years exp • Bachelor's Degree • Calgary
AI/ML
LLM
Agentic Workflows
Apply
≈ $79k – $183k per year (Estimated) • In office • Full-Time • Ajax
Apply
Alterations Lead 4 hours ago
$56k – $60k per year • In office • Full-Time • 6+ years exp • Toronto
Apply
≈ $96k – $193k per year (Estimated) • Hybrid • 5+ years exp • Sydney
Go
Elixir
AI/ML
AI Agents
LLM Guardrails
DevOps
Terraform
GitHub Actions
CI/CD
AWS
Grafana
Trunk-Based Development
Buildkite
FinOps
GitHub
Amazon ECS
Amazon CloudWatch
Apply
Product Lead 1 day ago
≈ $123k – $261k per year (Estimated) • Hybrid • Sydney
AI/ML
Claude
Claude Code
AI Agents
Apply
$40k – $100k per year • In office • Full-Time • London
AI/ML
AI Agents
Marketing
LinkedIn
Apply
In office • Full-Time
AI/ML
AI Agents
Marketing
Salesforce
HubSpot
Marketo
Apply
$100k – $150k per year • Remote (United States) • 6+ years exp • Bachelor's Degree
Python
JavaScript
Java
SQL
C#
Java
Spring Cloud
DevOps
Rest API
gRPC
Azure DevOps
GitHub Actions
GitLab CI
Azure
CI/CD
Jenkins
Chaos Engineering
Shift-Left
Cybersecurity
Burp Suite
Snyk
OWASP ZAP
Shift-Left Security
OWASP
Management
Agile
Scrum
QA
Selenium
JMeter
Cypress
Playwright
Gatling
Rest-Assured
Pact
k6
Locust
Apply
≈ $70k – $162k per year (Estimated) • In office • Full-Time • Bachelor's Degree • Vancouver
Java
C++
AI/ML
AI Agents
LLM Guardrails
Agentic Workflows
Management
Agile
Apply
≈ $63k – $145k per year (Estimated) • In office • Full-Time • Bachelor's Degree • Toronto
JavaScript
DevOps
CI/CD
Cybersecurity
PCI DSS
Management
Agile
Scrum
Apply
$59k – $82k per year • In office • Full-Time • 3+ years exp • Bachelor's Degree • Rome
Apply
≈ $56k – $133k per year (Estimated) • In office • Full-Time • Lisbon
Apply
≈ $15k – $34k per year (Estimated) • In office • Full-Time • Pune
JavaScript
Java
TypeScript
Java
Spring Boot
Databases
Apache Kafka
Frontend
Angular
Mobile
Dependency Injection
DevOps
Azure DevOps
Azure
Jenkins
AWS
Bamboo
API Gateway
Linux
Windows
Cybersecurity
Checkmarx
CWE
Veracode
JFrog Xray
OWASP
Apply
≈ $54k – $105k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Vancouver
AI/ML
Claude
ChatGPT
DevOps
Azure DevOps
Azure
Management
Confluence
Jira
Agile
Scrum
Kanban
Apply
$121k – $202k per year • Equity • In office • Full-Time • 8+ years exp • Bachelor's Degree • Vancouver
AI/ML
AI Agents
Agentic Workflows
Apply
$65k – $80k per year • In office • Full-Time • 7+ years exp • Vancouver • Richmond
Apply
≈ $70k – $162k per year (Estimated) • In office • Full-Time • Bachelor's Degree • Vancouver
Java
C++
AI/ML
AI Agents
LLM Guardrails
Agentic Workflows
Management
Agile
Apply
$80k per year • In office • 5+ years exp • Vancouver
Apply
See all jobs
This is one of many
980,327 more open roles from verified company boards, updated every day.