M
Mastercard
Principal Software Engineer
Skills
Data ScienceCybersecurityAIWorkday
2 months ago
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Important information
Salary:
CA$138,000 – CA$221,000 / year
Location:
Toronto, ON, Canada
Work mode:
Onsite
Published on:
20 August 2026
What they need
Who you are
- Extensive experience designing, building, and supporting production software
- Strong background as a software architect, principal engineer, or senior technical lead
- Deep knowledge of modern architecture, APIs, distributed systems, cloud-native platforms, and security
- Strong PDLC experience across discovery, architecture, delivery, and production readiness
- Hands-on experience building prototypes, proofs of concept, or reference implementations
- Comfortable using AI-assisted coding tools to accelerate development and validation
- Skilled at translating complex needs into practical technical approaches
- Strong communicator across engineering, product, business, and executive audiences
- Able to influence technical direction across teams without direct authority
- Experience in payments, commerce, fraud, identity, cybersecurity, or trust platforms preferred
- Experience with agentic commerce, AI agents, or generative AI is a strong plus
What the job involves
- The Principal Engineer shapes technical architecture, solution patterns, and engineering approaches for strategic initiatives within Mastercard’s Security Solutions Organization (SSO)
- Sitting within Solutions Engineering, the role partners across Product, Engineering, Data Science, Security, and Platform teams to turn business opportunities into practical architecture concepts, reusable patterns, and prototypes
- The role is primarily strategic but includes hands-on prototyping to validate concepts and accelerate decisions
- It supports a range of emerging capabilities with a strong emphasis on reusability and cross-product platform thinking
- Agentic Trust Data, Platforms & Non Network Intelligence is a key focus area, and this role will help define the architecture patterns and reusable foundations that enable Mastercard’s agentic and AI-driven solutions to scale
- Architecture & Platform Strategy
- Define solution architectures, reusable patterns, and shared components across SSO initiatives
- Translate product and business needs into clear engineering concepts and architecture options
- Evaluate trade-offs across scalability, security, interoperability, and maintainability
- Identify connective architecture and reusable capabilities across products and platforms. Product Development Lifecycle Enablement
- Apply strong PDLC experience to move initiatives from concept through validation to production readiness
- Partner with Product and Engineering teams to clarify technical requirements, dependencies, and risks
- Ensure architecture decisions account for real-world delivery, supportability, and platform evolution. Prototyping & Emerging Technology
- Build prototypes and proofs of concept to validate architecture assumptions and demonstrate feasibility
- Use AI-assisted coding to accelerate exploration and development
- Explore emerging technologies, with particular attention to agentic commerce, AI agents, non-network intelligence, modern APIs, and cloud-native platforms
- Distinguish prototype work from production-grade implementation while informing product and engineering direction. Communication & Influence
- Create clear architecture diagrams, technical narratives, and decision materials for varied audiences
- Present concepts and recommendations to engineers, product leaders, and senior stakeholders
- Drive cross-functional alignment and serve as a trusted technical advisor
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