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Mastercard

Processes payments across a global network

Senior Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, a related field, or equivalent practical experience.
  • A strong foundation in software engineering principles, including system design, source control, testing, debugging, performance analysis, maintainability, and secure software development.
  • Expert-level proficiency with Java 17 or later and Spring-based application development.
  • Experience designing and building RESTful APIs and service integrations.
  • Experience developing cloud-native applications and distributed systems, preferably in Azure environments.
  • Proficiency with distributed source control systems such as Git, including branching strategies, code review workflows, conflict resolution, and release management practices.
  • Experience working within modern CI/CD environments, including build automation, deployment pipelines, release validation, and operational support.
  • Demonstrated ability to investigate and resolve complex production issues through structured troubleshooting, evidence-based decision-making, and root cause analysis.
  • A strong understanding of observability practices, including logging, monitoring, metrics, dashboards, distributed tracing, and reliability-oriented alerting.
  • Experience with modern data platforms and databases, including data modeling, scalability, performance, and operational trade-offs.
  • Working knowledge of authentication, authorization, secrets management, vulnerability management, and secure handling of sensitive data in regulated environments.
  • A proven ability to take initiative, drive work to completion, remove blockers, and deliver results with limited supervision.
  • Ability to collaborate across teams, influence technical decisions, and communicate complex concepts to technical and non-technical stakeholders.
  • Comfort using approved AI-assisted development tools and applying critical judgment to validate AI-generated outputs before production use.

Responsibilities

  • Design, develop, test, deploy, and maintain software solutions that meet standards for security, reliability, scalability, and operational excellence.
  • Drive technical initiatives independently from concept through production, navigating ambiguity, managing dependencies, and delivering measurable business outcomes.
  • Collaborate with product, engineering, operations, security, and compliance partners to translate business needs into technical solutions.
  • Contribute to architecture and design decisions for distributed systems, APIs, integrations, and platform capabilities, balancing business priorities with long-term maintainability.
  • Own software services throughout their lifecycle, including implementation, deployment, monitoring, incident response, and continuous improvement.
  • Troubleshoot complex application and production issues using logs, metrics, traces, debugging tools, and systematic root cause analysis techniques.
  • Participate in on-call support, incident reviews, and operational readiness activities, and drive improvements that enhance reliability and reduce operational toil.
  • Apply secure-by-design and privacy-conscious engineering practices when working with sensitive financial and consumer data.
  • Foster engineering excellence through code reviews, technical mentoring, knowledge sharing, and promotion of development best practices.
  • Improve automation, testing, observability, developer experience, and software delivery processes.
  • Use approved AI-assisted engineering tools responsibly to improve productivity while validating outputs and protecting confidential or sensitive information.
  • Abide by Mastercard's security policies and practices, ensure confidentiality and integrity of accessed information, report suspected security violations or breaches, and complete mandatory security training.

Desired Qualifications

  • Experience in payments, fintech, commerce, banking, fraud prevention, or other regulated industries.
  • Experience building high-throughput, highly available, or event-driven systems.
  • Experience with batch processing, workflow orchestration, or large-scale data pipelines.
  • Experience incorporating AI-enabled capabilities into products or engineering workflows.

About the Company

Mastercard

Processes payments across a global network

Mastercard operates a global payment network connecting financial institutions, merchants, businesses and consumers. It authorizes, clears and settles transactions between participating institutions, while banks issue Mastercard-branded cards and extend credit to their customers. Its services also include fraud detection, identity verification, payment tokenization, data analysis and consulting for organizations managing commerce and financial operations. The company earns network fees linked to payment volumes and processed transactions, along with fees for its services and solutions. Founded by a group of banks in 1966, Mastercard is headquartered in Purchase, within Harrison, New York.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Harrison, New York
Founded
1966

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