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 . You are required to adhere to our Return To Office (RTO) / weekly onsite requirements (Tuesday, Wednesday, and Thursday). 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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