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Mastercard

Processes payments across a global network

Vice President, Software Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 15 years of progressive software engineering experience.
  • At least 8 years of experience leading large engineering teams or platform engineering organizations.
  • Proven experience building or scaling developer platforms, internal engineering platforms, developer experience organizations, cloud platforms, DevOps platforms, or engineering productivity functions.
  • Strong understanding of modern software development practices, continuous integration and continuous delivery, cloud-native architecture, platform engineering, developer tooling, quality engineering, and secure software delivery.
  • Experience leading complex enterprise technology transformations in a matrixed environment.
  • Demonstrated ability to influence senior executives and align cross-functional stakeholders.
  • Strong track record of building high-performing teams and developing engineering leaders.
  • Experience using data, telemetry, and metrics to improve engineering productivity and platform adoption.
  • Follow Mastercard security policies and practices, protect the confidentiality and integrity of accessed information, report suspected security violations or breaches, and complete required security training.

Responsibilities

  • Define and execute the engineering strategy for the Developer Workbench.
  • Establish the technical architecture, operating model, and roadmap for a unified developer platform.
  • Integrate developer tooling, engineering workflows, quality systems, AI coding capabilities, cloud and local development environments, and developer insights into a seamless end-to-end experience.
  • Ensure the platform is scalable, secure, reliable, measurable, and aligned with enterprise engineering standards.
  • Create a frictionless developer journey from onboarding through coding, testing, deployment, monitoring, and continuous improvement.
  • Reduce manual setup, inconsistent tooling, and duplicated effort across engineering teams.
  • Partner with product teams to integrate capabilities across the MSBX product suite and other engineering platforms.
  • Establish feedback mechanisms to understand developer needs and improve the overall experience.
  • Lead adoption and integration of AI-assisted software engineering tools and agentic development capabilities.
  • Define governance, security, usage, enablement, and measurement models for AI coding assistants.
  • Partner with security, risk, compliance, and architecture teams to ensure responsible and secure use of AI across the software development lifecycle.
  • Measure the effectiveness of AI-enabled development through adoption, productivity, quality, and developer satisfaction metrics.
  • Establish a governance model for developer tools.
  • Manage tooling standards, lifecycle, versioning, adoption, enablement, and rationalization.
  • Ensure developer tools are maintained, current, secure, and consistently supported.
  • Partner with finance and technology leaders to provide transparency into tool value, adoption, cost, and productivity impact.
  • Recruit, develop, and lead a team of engineers, architects, platform specialists, technical program leaders, and developer experience professionals.
  • Build a culture of customer focus, engineering excellence, accountability, and continuous improvement.
  • Ensure the team operates as a product organization with clear priorities, measurable outcomes, and strong stakeholder engagement.
  • Develop talent and leadership capacity within the MSBX organization.
  • Collaborate with chief technology officers, engineering leaders, product leaders, security, architecture, operations, finance, and learning teams.
  • Influence senior stakeholders and align investment decisions with business value.
  • Communicate strategy, progress, risks, and outcomes to executive audiences.
  • Represent the Developer Workbench as a strategic enabler of modern software engineering at Mastercard.

Desired Qualifications

  • Experience with AI-assisted software development tools and emerging agentic engineering workflows.
  • Experience integrating developer tools across integrated development environments, source control, continuous integration and continuous delivery, testing, deployment, observability, and cloud environments.
  • Background in developer experience, platform engineering, site reliability engineering, DevOps, cloud engineering, or engineering enablement.
  • Experience supporting large-scale developer communities in a global enterprise.
  • Familiarity with engineering productivity measurement, developer satisfaction metrics, and platform adoption frameworks.
  • Experience managing tooling governance, vendor platforms, and enterprise-wide technology standards.

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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