Senior 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 - 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)