VP, Software Engineering — AI-Driven Platform Scale

MasterCard

San Francisco (CA)

On-site

USD 254,000 - 407,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
401k with company match
Paid time off & holidays

Job summary

Mastercard is seeking a visionary VP of Software Engineering to build and scale Decision Stream, Mastercard's AI-native decisioning platform. You will lead through technical excellence, shape architecture for distributed systems and cloud-native tech, and partner with product teams to drive business value at scale.

The role demands strategic leadership, hands-on technical engagement, and a track record of delivering mission-critical systems.

Qualifications

  • Proven experience leading software engineering teams building large-scale distributed platforms.
  • Hands-on background in cloud-native architectures, microservices, APIs, data platforms, and event-driven systems.
  • Ability to influence architecture and engage in technical design discussions.
  • Track record delivering highly available, resilient systems at scale.
  • Strong collaboration, communication, and leadership skills.

Responsibilities

  • Lead engineering teams and serve as a role model for engineering excellence.
  • Drive architecture, design, and technology decisions across distributed systems, streaming, AI, and cloud-native platforms.
  • Engage with engineers, architects, and product leaders to solve complex technical challenges.
  • Partner with Product to align engineering investments with customer and business value.

Skills

Leadership
Distributed systems
Cloud-native architectures
Communication
Strategic thinking

Tools

Kafka
Flink
Kubernetes
Cloud platforms

Job description

Mastercard is seeking a visionary VP of Software Engineering to build and scale Decision Stream, Mastercard's AI-native decisioning platform. You will lead through technical excellence, shape architecture for distributed systems and cloud-native tech, and partner with product teams to drive business value at scale.

The role demands strategic leadership, hands-on technical engagement, and a track record of delivering mission-critical systems.

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