Lead software engineer
Mastercard Voir toutes les offres
- Vancouver, BC
- Permanent
- Temps-plein
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
The Event Framework team is seeking a Lead Software Engineer to design and implement large-scale, highly resilient distributed systems built on reactive and event‑driven architectures. This role involves active participation in design discussions, producing high‑quality code, and influencing architectural direction.
The ideal candidate is motivated, intellectually curious, and passionate about solving complex engineering challenges—while leveraging modern AI development tools to accelerate delivery and improve quality.Role Responsibilities
- Design and implement large-scale, highly resilient distributed systems using event‑driven and reactive architectures.
- Write, enhance, and maintain applications/services; perform code reviews; and follow engineering best practices to deliver production‑ready software.
- Partner closely with product teams to drive prioritization decisions, evaluate trade‑offs, and shape technical direction.
- Automate and streamline all aspects of software development, testing, deployment, and monitoring.
- Explore and introduce emerging technologies and architectural approaches by running POCs aligned with enterprise guidelines.
- Provide technical leadership and mentorship to junior engineers, including guidance on coding patterns, design principles, and effective use of AI-assisted tooling.
- Proven track record of delivering production‑grade, large‑scale distributed systems.
- Strong programming experience in modern languages. Preferred: Java, Spring Boot, Go.
- Experience using AI coding assistants to improve development speed, code quality, test generation, and documentation.
- Familiarity with secure coding standards and the ability to apply them consistently.
- Solid understanding of advanced software design patterns and the ability to apply them appropriately.
- Working knowledge of operating system internals (Windows, Linux) to write robust, performant, and interoperable code.
- Hands-on experience with cloud platforms such as AWS and/or Azure.