Jobs at Equifax Inc.

Manage uptime across cloud-native and hybrid architectures, build IaC with Terraform and cloud SDKs, create CI/CD pipelines, automate deployments and runbooks, triage incidents, perform on-call incident response, lead postmortems, and improve system reliability and MTTR.

Design, develop, test, deploy, and operate scalable backend-to-UI applications. Work in agile teams on microservices, serverless, CI/CD, and cloud platforms; troubleshoot performance and integrate with internal systems.

Perform independent data analysis and prepare scalable, repeatable code and processes. Integrate disparate data sources, run and optimize metrics and reports, identify anomalies, collaborate with Data, Product, and Technology teams, and communicate findings and business impacts to stakeholders while ensuring data governance and compliance.

Develop and execute test plans, automate tests and build test harnesses, monitor product quality, document defects, collaborate with engineering and product teams, and apply performance and resilience testing in cloud environments.

Lead model risk management team to validate statistical and advanced AI models. Perform hands-on validations, design test plans, assess documentation/code, develop validation methods for generative/agentic AI and unstructured data, mentor staff, advise stakeholders, and support regulatory inquiries.

Design, build, and maintain data pipelines and models on GCP; integrate, cleanse, and prepare large datasets; implement data quality checks and security best practices; troubleshoot data issues; mentor junior data engineers and review their work.

Designs, develops, tests, and operates high-scale backend and UI applications using Java, frontend frameworks, and cloud platforms. Contributes to estimations, architecture discussions, CI/CD, and integration with internal systems. Troubleshoots performance issues, documents code, and works in agile teams to deliver microservices and data products with emphasis on scalability, security, and operational excellence.

Design, develop, test, deploy, and operate scalable backend-to-UI applications. Participate in estimation, architecture, and agile delivery. Troubleshoot performance and production issues, apply modern practices like microservices, CI/CD, and cloud, and document code for team collaboration.

Lead and mentor cross-functional engineering teams to design, build, deploy, and operate cloud-native, microservice and big-data solutions on public cloud platforms. Drive architecture, SLAs, DevSecOps/FinOps compliance, CI/CD, runbooks, R&D/PoCs, and communicate technical direction to stakeholders.

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.

Lead cloud-native engineering teams to design, build, and operate microservice and big-data solutions. Mentor engineers, define SLAs/SLOs, drive architecture decisions, run R&D/PoCs, manage CI/CD and IaC pipelines, and present technical direction to stakeholders.

The Technical Project Manager supervises daily operations, manages team performance, oversees technology solution delivery, resolves operational problems, and maintains technical capabilities while ensuring alignment with business goals.