Jobs / Canada / Mastercard International Incorporated
Senior Principal Software Engineer, R&D
Mastercard International Incorporated · 🇨🇦 Toronto, Canada
Sponsorship verdict
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No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeCanada has no single salary bar: the employer usually needs a positive LMIA. Pay at or above the provincial median wage + 20% (e.g. C$36.92/h in Ontario) puts it in the high-wage stream. Source: https://www.canada.ca/en/employment-social-development/services/foreign-workers/median-wage.html, rules effective 2026-07-17.
- Confirmed live todayWhen a source last listed this job as open.
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Sponsor Radar — Mastercard International Incorporated
No government sponsor record covers this employer in this country.
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About the role
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 Senior Principal Software Engineer, R&D Overview Mastercard is looking for a Senior Principal Software Development Engineer to join the Mastercard Foundry Research and Development team in our Toronto location. In this role, you will establish the technical direction for complex, early-stage products, drive architecture decisions across teams, and bring innovative solutions to global markets at enterprise scale. The Senior Principal Software Engineer thrives on setting direction where product concepts are ambiguous, aligning engineering choices to commercial outcomes. Our team is built on a foundation of research and development, mining innovation internally, innovating new product lines with emerging technology, managing new products from inception to market validation and engaging strategically with start-ups to shape the future of commerce with and for our customers. At Mastercard you will help define the future of commerce globally. This team will have a diverse focus both in terms of geography and variety of technology challenges driving hard to bring innovative payment solutions and services to market. As a Senior Principal Software Engineer on the R&D team, you will be at the forefront of the design of complex, large-scale new product concepts spanning Mastercard’s business units. Responsibilities of the role include: • Define highly scalable solution architectures for complex, early-stage product concepts across technology stacks, data platforms, and environments • Establish engineering best practices that accelerate responsible use of AI across solution architecture and software delivery, including patterns for AI-assisted development, evaluation, observability, and production readiness • Set technical direction for complex applications, interfaces, and integrations from concept through implementation, deployment, and release • Set technical strategy and lead architecture implementation for Data Platforms in Foundry R&D, creating reusable patterns that can scale across products • Influence technical direction across R&D, product, and technology teams, creating alignment on tradeoffs, delivery risks, and long-term platform choices • Identify high-impact technical risks, make architecture decisions under uncertainty, and design experiments or prototypes to de-risk product concepts before market validation • Act as a force multiplier for engineering excellence by coaching senior engineers, reviewing critical designs, raising quality standards, and creating technical practices that improve delivery across teams All About You • Hands-on experience architecting and building 0-to-1 applications using Generative AI, LLMs, or agentic patterns • Demonstrated ability to set technical strategy for complex initiatives, make architecture decisions under uncertainty, and influence senior technical and business stakeholders without direct authority • Deep experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows, such as LangGraph, OpenAI Agents SDK, or Codex SDK • Expertise in cloud platforms such as Databricks, Snowflake, AWS, and Azure • Strong working knowledge of AI/ML, data analytics, and data product development with emphasis on