Jobs at Equifax Inc.

Design, develop, test, and deploy scalable backend-to-UI applications using modern practices (microservices, serverless, CI/CD). Participate in estimation, architecture, debugging, documentation, and cross-team integrations while ensuring security and operational excellence.

The Senior Software Engineer at Equifax will design and develop cloud-native applications and microservices, using modern practices to enhance system performance and scalability, while collaborating with global teams.

Develop, test, deploy, and maintain high-scale backend-to-UI applications. Diagnose and resolve performance issues, participate in estimations, architecture discussions, CI/CD and cloud-based development, integrate systems, document code, and work within an agile team to deliver sprint commitments and troubleshoot production issues.

This role involves analyzing data, optimizing processes, integrating data sources, and communicating insights to stakeholders while ensuring compliance and governance.

The Senior Data Engineer role involves developing data pipelines, ensuring data quality, mentoring junior engineers, and implementing security best practices in cloud environments.

The Software Engineering Manager leads cross-functional teams, oversees technical projects, ensures software compliance, drives stakeholder engagement, and develops long-term technical vision.

Lead Software Engineers at Equifax will manage teams, collaborate on architecture, develop cloud-native solutions, ensure compliance, and drive technical documentation.

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.

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.

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.

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.

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

As a Model Performance Monitoring Analytics Consultant, you'll manage model governance projects, ensure compliance, and communicate results to stakeholders while utilizing advanced analytical techniques and programming skills.

The role involves developing and executing test plans, automating tests, monitoring product quality, and collaborating with teams to ensure software quality.

Oversee SRE team, manage cloud infrastructures, ensure system uptime and availability, develop infrastructure solutions, and recruit SRE talent.

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.

The Product Owner will bridge customer desires and technological capabilities, manage the product backlog, prioritize tasks, and ensure alignment with stakeholders while applying Agile methodologies.

As a Quality Automation Engineer, you'll develop and execute automated test strategies, influencing software design for quality, while collaborating with teams to enhance quality assurance processes and tools.