Senior Software Engineer

Mastercard

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Quick summary

Work type: On-site
Location: O'Fallon, MO
Salary: $115,000–$184,000 / yr
Posted: 7 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k

This role $150k

$103k $225k

below market most similar roles pay here above market

This role pays less than 67% of similar roles. Most pay $149,262–$178,318 — the blue band above. At the midpoint, this role pays about $150k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About Mastercard

Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services

Mastercard currently has 150 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 142 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Senior Software Engineer

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The Senior, Software Engineer joins the Decision Management Program team to develop backend software applications and services. This role involves designing, developing, testing, and maintaining scalable, secure, and reliable Java-based systems. The engineer will translate business requirements into software designs, implement complex algorithms and data structures, and manage the full software development lifecycle, including automated unit, functional, integration, and regression testing. Key technical skills include Java, API development, service-oriented architectures, secure coding practices, and AI technologies. The position focuses on solving nontrivial engineering problems within the payment journey, specifically building tools that structure complex business logic to help manage risk and adapt to regulatory or market conditions. The engineer will also mentor team members, perform code reviews, and improve operational readiness through observability and performance tuning.

What does a Software Engineer earn in Missouri?

Median $149500 from 58 postings across 5 companies.

See salary data

Skills

Java APIs Service-Oriented Architecture CI/CD Regression Testing Algorithms Data Structures Secure Coding Observability Performance Tuning AI Application Lifecycle Management Agile Scrum

What you'll do

Design and develop scalable, secure, and maintainable Java-based applications, APIs, and backend components.
Translate business and technical requirements into high-quality software designs using appropriate algorithms and data structures.
Develop and maintain automated unit, functional, integration, and regression tests to validate software functionality.
Troubleshoot, diagnose, and refactor existing code to improve performance, reliability, and maintainability.
Apply secure coding practices throughout the software development lifecycle to identify and reduce application vulnerabilities.
Automate software build, testing, deployment, and operational processes to improve delivery efficiency.
Analyze and optimize applications for performance and scalability through continuous testing and tuning.
Mentor junior team members through code reviews, technical support, and knowledge sharing.

What we're looking for

Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
Strong experience developing backend applications and services using Java to build production-quality software.
Proficiency in backend software design, APIs, service-oriented architectures, algorithms, and data structures.
Experience applying secure coding standards to develop scalable and maintainable software.
Experience developing and maintaining automated unit, functional, integration, and regression tests.
Experience incorporating test automation into CI/CD and software delivery practices.
Demonstrated experience applying AI technologies or capabilities within a software engineering context.
Familiarity with performance engineering, performance tuning, automation, observability, and operational-readiness practices.