Senior Software Engineer - Scalable AI/Cloud Solutions

Mastercard Inc.

O’Fallon (MO)

On-site

USD 115,000 - 184,000

Full time

14 days+
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Benefits offered by this job

Medical Insurance
401k with company match
Paid time off

Job summary

Mastercard Inc. is seeking a Senior Software Engineer to design and deliver secure, scalable software for a global, digital economy.

You will work within a small team on AI, cloud, and machine learning platforms that power mission-critical insights for leading organizations and governments. As part of Mastercard Way, you will own delivery tasks, mentor teammates, and drive standardized pipelines and best practices across the stack, ensuring security, performance, and reliability in distributed

Qualifications

  • Bachelor's degree in software engineering, computer science, information technology or a related discipline.
  • Experience delivering secure, scalable software in distributed systems.
  • Strong understanding of security, performance, and reliability principles.
  • Proven ability to mentor engineers and drive best practices.

Responsibilities

  • Participate in prioritization with Product/Business stakeholders.
  • Own delivery tasks from design to deployment including testing and documentation.
  • Drive architecture decisions and maintainable code.
  • Conduct code reviews and troubleshoot complex production issues.

Skills

Secure coding
OWASP standards
Software architecture
Test automation
CI/CD
Code reviews
Mentoring
Cryptography

Education

Bachelor's degree in CS/SE

Tools

Jenkins
AWS pipelines
Azure pipelines
SonarQube
Checkmarx
JFrog XRay
Veracode
Artifactory

Job description

Mastercard Inc. is seeking a Senior Software Engineer to design and deliver secure, scalable software for a global, digital economy.

You will work within a small team on AI, cloud, and machine learning platforms that power mission-critical insights for leading organizations and governments. As part of Mastercard Way, you will own delivery tasks, mentor teammates, and drive standardized pipelines and best practices across the stack, ensuring security, performance, and reliability in distributed

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