Principal Software Engineer

Mastercard

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: O'Fallon, MO
Salary: $170,000–$281,000 / yr
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 98 roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $208k

This role $226k

$126k most similar roles pay here $298k

This role pays more than 70% of similar roles. Most pay $185,187–$231,000 — the shaded band above. At the midpoint, this role pays about $226k versus about $208k 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 128 open roles on FindRole.

Listed pay typically runs $122,000–$207,000 across 114 roles with salary data.

Most-posted roles

View all roles at Mastercard

At a glance

TL;DR · Principal Software Engineer

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The Principal Software Engineer joins the Architecture & Technology team as a senior individual contributor to drive enterprise engineering strategy and architecture standards. This role involves providing technical leadership across multiple engineering organizations by defining reusable patterns, evaluating technology investments, and leading architectural reviews to improve scalability, resiliency, and security. The engineer will develop AI-enabled tools and knowledge platforms while influencing SDLC practices and infrastructure automation. Key responsibilities include mentoring senior staff and collaborating with cross-functional teams to ensure operational excellence. The role requires deep expertise in distributed systems, cloud-native platforms like AWS, Azure, or GCP, microservices, reliability engineering, and DevSecOps. The position focuses on solving complex problems related to building secure, scalable, and operationally excellent solutions while promoting a build-once-run-many philosophy across various business domains and enterprise technology capabilities.

What does a Software Engineer earn in Missouri?

Median $149500 from 40 postings across 7 companies.

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Skills

Software Architecture Distributed Systems AWS Azure GCP Microservices Platform Engineering SRE Observability AI LLM DevSecOps CI/CD Infrastructure Automation Performance Optimization Enterprise Integration

What you'll do

Provide technical leadership and architectural guidance to ensure consistent adoption of engineering standards across multiple organizations.
Partner with executive leaders to evaluate technology investments, transformation initiatives, and critical architecture decisions.
Lead architecture reviews to improve system scalability, resiliency, security, performance, and operational excellence.
Define and evolve enterprise architecture patterns, reference implementations, and reusable engineering capabilities.
Develop AI-enabled engineering tools and knowledge platforms to improve developer productivity and decision-making.
Drive the adoption of AI-powered capabilities to make design guidance and best practices more accessible.
Influence the evolution of Engineering Principles, SDLC, and Secure Software Lifecycle Standards.
Create technical thought leadership and executive-level communications to influence organizational engineering direction.

What we're looking for

Extensive experience designing and delivering highly scalable, resilient, and secure enterprise software solutions.
Deep expertise in software architecture, cloud platforms (AWS/Azure/GCP), microservices, distributed systems, and platform engineering.
Proven ability to influence technical strategy and architectural direction across multiple teams and business domains.
Strong experience establishing engineering standards, governance models, architecture frameworks, and operational excellence practices.
Expertise in reliability engineering, observability, performance optimization, and production operations.
Experience developing reusable platforms, shared services, and enterprise technology capabilities.
Strong understanding of modern software delivery practices, CI/CD, infrastructure automation, and DevSecOps methodologies.
Experience designing and developing AI-enabled engineering tools and LLM engineering solutions.

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