Jobs at Equifax Inc.

The Software Engineer will develop applications, participate in agile processes, troubleshoot code, and improve system performance while collaborating with a team on technological advancements.

Support Digital Marketplace deployments for Equifax products, develop frameworks for product deliveries, automate processes, and provide cloud computing solutions.

As a Data Engineer, you will manage project progress, analyze data queries, perform data quality checks, and maintain documentation, while supporting data models and pipelines.

Design, develop, and execute automated and manual test plans for software products. Build test harnesses and infrastructure, write automation scripts, integrate tests into CI, track defects in JIRA/Zephyr, and collaborate with engineering to improve quality, performance, accessibility, and testability.

Design, develop, test, deploy, and operate high-scale, cloud-native applications and microservices. Collaborate across teams, participate in architecture and sprint activities, triage and debug production issues, and contribute to CI/CD and infrastructure-as-code practices.

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.

Lead SRE responsible for uptime across cloud-native (AWS/GCP) and hybrid systems. Build IaC (Terraform, cloud CLI/SDK), CI/CD pipelines (Jenkins), automation, runbooks, monitoring, and incident response. Triage distributed-system issues, run on-call rotations, lead blameless postmortems, and drive remediation to improve MTTR and system reliability.

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.

Lead a cross-functional engineering team delivering software solutions: set technical vision and roadmap, manage sprint/planning/production support, define SLAs/SLOs, ensure DevSec/QE/FinOps compliance, mentor engineers, coordinate stakeholders, and drive process and technology productivity improvements.

Lead the development and deployment of AI solutions, mentor teams, and architect cloud-native systems, primarily using Google Cloud, for scalable applications and AI agents.

Lead the transformation of the software development lifecycle by enhancing GitHub Copilot's capabilities for autonomous code generation and incident management. Define the strategic roadmap, design system architectures, manage integrations, establish performant and secure frameworks, and mentor engineering teams while collaborating with stakeholders.

As a Senior AI Engineer, you will architect and deploy AI solutions, lead a technical team, integrate AI models, and ensure reliable production systems on Google Cloud Platform while collaborating with cross-functional teams.

The Lead Platform Engineer will manage system uptime, build infrastructure as code, develop CI/CD pipelines, and lead blameless postmortems, leveraging cloud-native technologies to ensure system reliability.