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Software Engineer - Intermediate

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Onsite

Software Engineer - Intermediate

Equifax

Software Engineer - Intermediate

Skills

Google Cloud PlatformPythonJavaTesting & QAMicroservicesSpring BootGitJenkinsAIAWSGradleGitHubFullstack DevelopmentJavascriptAzure

1 day ago

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Important information


Contract type:

Permanent

Location:

St. Louis, MO, USA

Work mode:

Onsite

Published on:

22 October 2026

What they need


Equifax is seeking creative, high-energy, and driven software engineers with hands-on development skills to work on a variety of meaningful projects. Our software engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, AI-augmented, and enthusiastic software engineer who is passionate about leveraging modern tools to accelerate delivery and solve complex problems.

T o adhere to our corporate location policies, this resource will be required to be local to the surrounding St.Louis, MO. This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support. What You Will Do

  • Perform general application development activities, including unit testing, code deployment to development environment, and technical documentation. Leverage AI-assisted coding tools (e.g., GitHub Copilot) to optimize development velocity and code quality.
  • Participates in estimation process, use case specifications, reviews of test plans and test cases, requirements, and project planning. Diagnose and resolve performance issues.
  • Documents code/processes so that any other developer is able to dive in with minimal effort.
  • Develop, and operate high-scale applications from the backend to UI layer, focusing on operational excellence, security, and scalability.
  • Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.). Work across teams to integrate our systems with existing internal systems, Data Fabric, CSA Toolset.
  • Actively explore and advocate for the integration of generative AI and automation tools into the team's daily workflows to eliminate repetitive tasks.
  • Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality. Participate in a tight-knit engineering team employing agile software development practices.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on network, or service operations and quality.
  • Able to write, debug, and troubleshoot code in mainstream open-source technologies. Lead effort for Sprint deliverables, and solve problems with medium complexity.

What Experience You Need

  • Bachelor's degree or equivalent experience.
  • 2+ years experience working with software design and Java, Python, and Javascript programming languages.
  • Experience integrating AI development accelerators/LLM tools into your daily coding, debugging, and testing workflows.
  • 2+ years experience with software build management tools like Maven or Gradle.
  • 2+ years experience with HTML, CSS, and frontend/web development.
  • 2+ years experience with software testing, performance, and quality engineering techniques and strategies.
  • 2+ years experience with Cloud technology: GCP, AWS, or Azure

What Could Set You Apart

  • AI-Augmented Developer: Proven track record of using generative AI tools to safely accelerate code generation, automate documentation, and optimize legacy refactoring while maintaining strict data security and code integrity guidelines.
  • Quality-First Engineer: Owns product outcomes end-to-end; expert at measuring and upholding high-quality standards across QA, UAT, and PROD using automated QE tools and JUnit.
  • Java Specialist: Advanced development in Java 17, SpringBoot, and Microservices/SOA, managing source control via Git/GitHub and builds through Maven/Gradle.
  • Independent Agile Practitioner: Self-directed contributor experienced in navigating priority shifts with minimal supervision within CI/CD (Jenkins) and Atlassian ecosystems.
  • Cloud & Innovation Forward: Cloud-ready professional (GCP/AWS/Azure Certification preferred) with a passion for staying ahead of emerging tech trends and modernizing software delivery models.

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