Lead Software Engineer

9 hours ago

Vancouver, British Columbia, Canada Mastercard Full time

Job Title:

Lead Software Engineer

Overview:

Overview
The AI & Decision Engineering Platform powers intelligent, real-time decisioning for Mastercard's fraud prevention and identity validation solutions. This program enables streaming analytics, governed decision-making, and outcome management with business agility at global scale.
Our platform leverages business rules engines, AI-driven decisioning, streaming big data clusters, in-memory data grids, APIs, and intuitive UIs to deliver decisions in milliseconds across billions of transactions worldwide.

As a Lead Engineer, you will play a pivotal role in driving technical excellence across multiple projects, mentoring engineers, and shaping the architecture for next generation decisioning capabilities. You'll lead design discussions, enforce coding standards, and ensure automation and scalability are at the core of every solution. This is a hybrid position based in Vancouver, requiring three days on-site per week.

Role:

• Develop backend services using Java, leveraging frameworks like Spring and gRPC for high-performance applications.

• Own AI model deployment pipelines, focusing on automation for deployment and validation in production environments.

• Drive design discussions and technical forums, propose alternatives, and ensure optimal architecture and coding standards.

• Manage Kubernetes clusters, oversee containerized workloads, and support cloud migration (AWS) from on-prem environments.

• Mentor and coach engineers, fostering technical excellence and continuous improvement within a team of 8–9 developers and cross-functional stakeholders.

• Review code and designs, enforce best practices, and ensure delivery of secure, maintainable, and high-quality solutions.

• Collaborate across teams, manage multiple projects, and steer technical training and knowledge-sharing initiatives.

All About You:

• Strong expertise in Java, Spring, gRPC, and backend service development.

• Hands-on experience with CI/CD pipelines (Jenkins), Kubernetes, and container orchestration.

• Familiarity with cloud platforms (AWS) and migration strategies.

• Proven ability to lead design discussions, review code, and enforce engineering standards.

• Experience mentoring engineers and managing technical forums.

• Knowledge of AI model deployment, automation frameworks, and streaming architectures.

• Familiarity with IBM ODM, Kafka, and distributed systems.

• Exposure to microservices, Docker, and cloud-native patterns.

• Ownership & Accountability: Drives outcomes and sets technical direction.

• Collaboration: Works effectively across global teams and stakeholders.

• Leadership: Inspires and mentors engineers, promotes technical rigor.

• Adaptability: Thrives in fast-paced, evolving environments.To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.

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