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
- Design, develop, and operate high scale applications across the full engineering stack
- Design, develop, test, deploy, maintain, and improve software.
- 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, globally distributed engineering team.
- 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
- Collaborate on scalability issues involving access to data and information.
- Actively participate in Sprint planning, Sprint Retrospectives, and other team activity
Requirements
What experience you need (Minimum Requirements)
- Bachelor's degree or equivalent experience
- 5+ years of software engineering experience
- 5+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS
- Experience with AI tooling such as CoPilot, Gemini, Claude, MCP, SpecKit etc.
- 5+ years experience with Cloud technology: GCP, AWS, or Azure
- 5+ years experience designing and developing cloud-native solutions
- 5+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes
- 5+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs
What could set you apart
- AI Tooling & Automation: Direct exposure to AI-assisted coding tools (e.g., Claude Code, Gemini Workspace/Canvas, GitHub Copilot) and an understanding of agentic architectures, tool-calling, and automated test guardrails.
- Self-starter that identifies/responds to priority shifts with minimal supervision.
- Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others
- UI development (e.g. HTML, JavaScript, Angular and Bootstrap)
- Deep understanding of automated testing: e.g. JUnit, Selenium, Playwright, REST Assured, LambdaTest
- Experience with backend technologies such as JAVA/J2EE, SpringBoot, SOA and Microservices
- Agile environments (e.g. Scrum, XP)
- Experience with relational databases (e.g. PostgreSQL, MS SQL Server) or NoSQL databases (e.g. Mongo, Firestore)
- Atlassian tooling (e.g. JIRA, Confluence, and Github)
- Cloud certification (e.g. AWS, GCP)