Jobs at Equifax Inc.

Develop and execute automated and manual tests for software products, creating test strategies, plans, cases, harnesses, and infrastructure. Build moderately complex test scripts using frameworks such as Cucumber and Selenium, perform functional, performance, and resilience testing, document and prioritize defects in JIRA and Zephyr, and support continuous integration. Collaborate with engineering and product teams to improve testability, quality, accessibility, privacy, and defect prevention across cloud-based solutions.

Develop and execute automated software tests, test strategies, test plans, and test harnesses. Write code and scripts using testing frameworks, validate functional and non-functional requirements, debug issues, and document defects. Collaborate with engineering and product teams to improve testability, quality, accessibility, privacy, performance, and resilience. Support continuous integration, monitor product quality, and help ensure systems meet defined standards and service objectives.

Design and independently deliver data analytics projects, using advanced statistical and programming techniques across complex data sources. Develop scalable solutions, visualize and communicate findings, recommend business actions, and influence implementation. Lead junior analysts, collaborate with technical and nontechnical stakeholders, explore data monetization opportunities, and ensure compliant use of data assets through governance partnerships.

Configure, deploy, operate, and monitor high-volume batch data delivery workflows on Google Cloud using Apache Airflow. Perform data quality validation, troubleshoot scheduling and dependency issues, maintain configuration documentation, support client fulfillment inquiries, and collaborate with Engineering and Data Operations. The role also contributes to process automation, platform improvements, production incident support, and secure SDLC-compliant deployments.

Design, develop, test, deploy, operate, and improve high-scale cloud-native applications using Java, Spring Boot, microservices, and modern software practices. Integrate systems across teams, contribute to architecture and technology roadmaps, troubleshoot production issues, manage project priorities, and participate in Agile ceremonies. The role also involves developing scalable data solutions, collaborating on access and scalability challenges, and supporting CI/CD and infrastructure-as-code deployments.

Design, develop, test, deploy, operate, and maintain cloud-native, high-scale applications and microservices. Integrate systems, participate in architecture and sprint ceremonies, triage and resolve production issues, and collaborate on scalability and CI/CD/infrastructure-as-code solutions.

Develop and maintain scalable applications across backend and UI layers. Responsibilities include coding, unit testing, deployment, documentation, performance troubleshooting, issue resolution, architecture discussions, system integration, and sprint delivery. The role uses modern practices including microservices, serverless computing, CI/CD, infrastructure as code, cloud platforms, and agile development. Engineers contribute to project planning, testing strategies, technical roadmaps, and operational excellence.

Manage a software engineering team, including hiring, coaching, retention, development planning, and succession readiness. Oversee delivery quality, testing strategies, technical debt, reliability, performance, and system maintenance. Use engineering and delivery metrics to improve team efficiency, manage cloud costs, address blockers, and allocate resources. Facilitate collaboration between product teams and customer-focused business areas while optimizing workflows and communication.

Provides end-to-end technical support for a Salesforce managed-package application. Resolves client incidents, diagnoses production defects, develops and deploys Apex, LWC, and Flow fixes, investigates API and data issues, and conducts root-cause analysis. Manages ServiceNow intake, Jira user stories, SLA tracking, reporting, Salesforce access provisioning, and license audits. Requires rotational on-call and weekend coverage, strong client communication, and Salesforce Platform Developer I and Administrator certifications.

Lead design, build, and production deployment of agentic AI systems on GCP. Architect scalable microservices, implement LangChain/LangGraph agents, establish MLOps and observability (Langfuse), mentor engineering teams, define SLAs/SLOs, and collaborate with product and SRE to deliver reliable, production-grade AI solutions.