Senior Software Engineer

Mastercard

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
O Fallon, MO
Salary
$115,000–$184,000 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $150k
$101k most similar roles pay here $248k

This role pays less than 74% of similar roles. Most pay $149,500–$188,277 — the shaded band above. At the midpoint, this role pays about $150k versus about $169k 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 116 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 104 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Senior Software Engineer

Senior Software Engineer joins the Global Product Engineering team to build foundational payment solutions that are secure, resilient, and scalable. This role involves designing, developing, and maintaining high-quality software components, automation frameworks, and engineering tools to improve delivery confidence. The engineer will develop automated solutions for unit, functional, integration, API, UI, and regression testing while participating in architecture discussions focused on performance and security. Key technologies include Java, Spring, JUnit, Rest Assured, JBehave, and Cucumber. The role also involves integrating automated checks into CI/CD pipelines using Jenkins, Bamboo, Git, and Maven, alongside utilizing tools like Sonar, Checkmarx, or Fortify for vulnerability scanning. Working in an Agile environment, the engineer addresses technical challenges within the digital payments domain, ensuring production readiness through logging, monitoring, and troubleshooting across distributed systems and various integration flows.

What does a Software Engineer earn in Missouri?

Median $149500 from 35 postings across 4 companies.

See salary data

What you'll do

  • Design, develop, and maintain high-quality software components and automation frameworks to improve delivery confidence.
  • Build automated solutions for unit, functional, integration, API, UI, and end-to-end validation.
  • Develop robust test automation using Java, Spring, JUnit, Rest Assured, JBehave, or Cucumber.
  • Participate in code reviews to ensure quality, security, maintainability, and adherence to engineering standards.
  • Integrate automated checks into CI/CD pipelines using tools like Jenkins, Bamboo, and Git.
  • Perform performance engineering by identifying bottlenecks and validating system behavior under load.
  • Implement secure coding practices and use tools like Sonar or Checkmarx for vulnerability identification.
  • Support production readiness through logging, monitoring, troubleshooting, and root cause analysis.

What we're looking for

  • 6–9 years of software engineering experience with strong hands-on Java development skills.
  • Strong understanding of SDLC, software design principles, data structures, and object-oriented programming.
  • Experience designing and developing automation frameworks, reusable test utilities, and engineering productivity tools.
  • Hands-on experience with Java, Spring, JUnit, Rest Assured, JBehave, Cucumber, or similar frameworks.
  • Experience validating APIs, microservices, web services, databases, and integration flows.
  • Experience integrating automated checks into CI/CD pipelines using Jenkins, Bamboo, Git, Maven, or similar tools.
  • Familiarity with code quality, coverage, and vulnerability scanning tools such as Sonar, Clover, Checkmarx, or Fortify.
  • Working knowledge of performance engineering, Linux/Unix environments, and troubleshooting complex technical issues.
  • Experience with cloud-native applications, containers, Kubernetes, or platform engineering concepts (preferred).
  • Experience with observability tools like Splunk, Dynatrace, Grafana, or Prometheus (preferred).
  • Experience supporting production systems through incident management and root cause analysis (preferred).
  • Exposure to payment systems, digital payments, authentication, security, or financial technology platforms (preferred).

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