Lead Software Engineer

Mastercard

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
O'Fallon, MO
Salary
$140,000–$231,000 / yr
Posted
10 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k
This role $186k
$129k most similar roles pay here $242k

This role pays less than 70% of similar roles. Most pay $184,425–$211,200 — the shaded band above. At the midpoint, this role pays about $186k versus about $198k 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 · Lead Software Engineer

As a Lead Software Engineer, you will serve as a technical leader and subject matter expert responsible for designing, developing, and maintaining secure, scalable, and reliable software solutions. You will lead architecture and design activities, define technical standards, and mentor team members while ensuring high-quality delivery across the full software development lifecycle. Your daily responsibilities include conducting code reviews, performing root cause analysis, managing performance testing, and implementing secure coding practices to protect against vulnerabilities. The role requires expertise in software architecture, distributed systems, microservices, and cloud-native technologies. You will also evaluate emerging tools, including AI-assisted development capabilities, to improve engineering efficiency. This position focuses on solving complex engineering challenges by building robust infrastructure that ensures system stability, observability, and operational readiness within a high-performance technical environment.

What you'll do

  • Design and architect scalable, maintainable, and secure software solutions to meet business objectives.
  • Develop, test, and maintain high-quality software across the full development lifecycle.
  • Establish and promote standards for unit, functional, and integration testing to ensure reliability.
  • Optimize systems for performance, scalability, and reliability through monitoring and capacity planning.
  • Implement secure coding practices to protect against vulnerabilities and ensure compliance with security standards.
  • Lead troubleshooting efforts and perform root cause analysis for complex technical issues in production environments.
  • Conduct code reviews and provide technical guidance to maintain high quality and coding standards.
  • Mentor and coach engineers to foster professional growth and technical excellence.

What we're looking for

  • Demonstrated experience designing, developing, and supporting enterprise-scale software solutions.
  • Strong expertise in software design, architecture, and development principles.
  • Experience implementing and maintaining unit, functional, and integration testing strategies.
  • Strong understanding of performance engineering, scalability, and reliability best practices.
  • Experience applying secure coding standards and software security principles.
  • Proven ability to perform code reviews and maintain high standards of software quality.
  • Strong troubleshooting and root cause analysis capabilities in complex technical environments.
  • Experience mentoring engineers and providing technical leadership across teams.
  • Experience designing and supporting distributed systems and microservices architectures (preferred).
  • Experience with cloud-native technologies, automation, and modern software delivery practices (preferred).
  • Experience evaluating and adopting emerging technologies, tools, and engineering methodologies (preferred).
  • Familiarity with AI-assisted software development and other modern engineering productivity capabilities (preferred).

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