Software Engineer

Equifax is seeking creative, high-energy, and driven software engineers to join our team as we pioneer modern, AI-driven software engineering. Our engineering positions offer you the opportunity to leverage next-generation AI tooling and agentic workflows to accelerate the full software development lifecycle. You are ideal for this position if you are a forward-thinking engineer who is passionate about blending hands-on technical craftsmanship with AI-augmented productivity to solve complex, meaningful challenges. What you’ll do Perform general application development activities, including unit testing, code deployment to development environment and technical documentation. Diagnose and resolve performance issues. Participate in the estimation process, use case specifications, reviews of test plans and test cases, requirements, and project planning. Document 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. 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. Manage sole project priorities, deadlines, and deliverables. Research, create, and develop software applications to extend and improve on Equifax Solutions. Actively participate in Sprint planning, Sprint Retrospectives, and other team activity. What Experience You Need Bachelor's degree or equivalent experience 3+ years experience working with software design and Java, Python and Javascript programming languages Experience with AI tooling such as CoPilot, Gemini, Claude, MCP, SpecKit etc. 3+ years experience with software build management tools like Maven or Gradle 3 + years experience designing and consuming HTTP and RESTful APIs 3+ years experience deploying and releasing software using CI/CD pipelines 3+ years experience with Angular, React or similar modern frameworks 3+ years experience with Cloud technology: GCP, AWS, or Azure 3+ years experience with software testing, performance, and quality engineering techniques and strategies Solid understanding of engineering principles and clean code What could set you apart AI Tooling & Automation: Direct exposure to AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, Gemini etc.) and an understanding of agentic architectures, tool-calling, and automated test guardrails. Self-starter that identifies/responds to priority shifts with minimal supervision Familiarity with OWASP top 10 and automated security scanning in the SDLC Experience building and maintaining CI/CD pipelines (e.g. Jenkins, GitHub Actions) UI development (e.g. HTML, JavaScript, Angular/React and Bootstrap) Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices Deep understanding of automated testing: e.g. JUnit, Selenium, Playwright, REST Assured, LambdaTest Agile environments (e.g. Scrum, XP) Atlassian tooling (e.g. JIRA, Confluence, and Github) Experience with relational databases (e.g. PostgreSQL, MS SQL Server) or NoSQL databases (e.g. Mongo, Firestore) Cloud certification (e.g. AWS, GCP)