Jobs at Equifax Inc.

Provides Tier 2 and Tier 3 production support in a 24/7 rotational environment. Responsibilities include incident triage, Linux and microservices monitoring, log analysis, root cause investigations, deployments, configuration updates, system health checks, and cross-team escalation. The role also maintains runbooks, automates operational tasks, troubleshoots cloud-based systems and databases, and supports software testing, performance, and quality engineering activities.

Provide Tier 2 and Tier 3 production support in a 24/7 rotational environment. Monitor microservices, integrations, and Linux systems; investigate incidents, perform log analysis and root-cause investigations, maintain environments and deployments, and coordinate escalations with development teams. Create runbooks and technical documentation while using scripting, cloud platforms, SQL, Java code inspection, and troubleshooting techniques to resolve issues within SLAs.

Develop and validate AI and machine learning models across credit risk, marketing, fraud, and account management domains. Use GCP to automate workflows, prepare training data, develop algorithms, and execute AI validation projects. Collaborate with stakeholders across geographies, support model risk management policies, ensure regulatory compliance, and apply industry best practices. The role requires advanced Python and SQL skills, model validation experience, and knowledge of financial risk models.

Leads Model Risk Management validation for statistical, machine learning, generative AI, and agentic AI models. Manages and mentors model validators, oversees complex validation projects, performs hands-on technical reviews, develops validation methodologies, assesses documentation and monitoring, advises model developers and business owners, and strengthens governance to meet regulatory requirements. The role also handles auditor and regulator inquiries and requires expertise in quantitative modeling, big data, cloud environments, and programming.

Configure, operate, and monitor high-volume batch data delivery workflows on Google Cloud. Deploy and manage Apache Airflow pipelines, perform data quality checks, troubleshoot configuration and scheduling issues, support client fulfillment inquiries, and maintain documentation. Collaborate with Engineering and Data Operations, follow security and SDLC procedures, and contribute to process automation and production incident support.

Leads agile software development teams delivering scalable .NET applications on cloud platforms, particularly GCP. Responsibilities include technical direction, team mentoring, project planning, architecture, CI/CD, infrastructure automation, issue resolution, stakeholder communication, roadmap development, and continuous process improvement. The role manages performance, budgets, hiring, and offshore teams while ensuring secure, high-quality delivery on schedule and within budget.

Develop and maintain scalable .NET applications across backend and UI layers using cloud platforms, modern architecture, CI/CD, and infrastructure-as-code. Responsibilities include unit testing, deployments, troubleshooting, documentation, security, scalability, Agile planning, and resolving medium-complexity issues. The role requires strong C# and .NET experience, cloud expertise, source control, and software development practices, with GCP preferred.

Develop and maintain scalable .NET applications across backend and UI layers using cloud platforms, primarily GCP. Responsibilities include coding, unit testing, deployments, debugging, issue resolution, documentation, CI/CD, infrastructure as code, and participation in Agile planning and ceremonies. The role requires attention to security, scalability, operational excellence, and collaboration across development teams.

Leads and mentors .NET developers while designing, developing, and maintaining scalable cloud applications. Responsibilities include .NET architecture, GCP microservices and serverless solutions, CI/CD, Infrastructure as Code, technical issue resolution, Agile planning, code reviews, technical roadmaps, and continuous improvement. The role requires strong C#, JavaScript, database, cloud, and software engineering expertise.

Architects and implements cloud-native solutions on GCP and AWS, defining system intent, component responsibilities, architecture models, non-functional requirements, and cost considerations. Provides technical oversight throughout implementation and partners with Engineering and SRE teams on monitoring, resiliency, outages, and remediation. Requires expertise in software architecture, microservices, event-driven systems, CI/CD, containers, security, and emerging AI architecture patterns including RAG, vector databases, and multi-agent frameworks.

Provides strategic HR consultation to leaders, aligns workforce and talent strategies with business goals, leads change management and workforce planning, implements HR programs, resolves escalated HR issues, and mentors team members. Responsibilities include compensation planning, organizational design, employee relations, development, performance management, employment law, conflict management, and talent assessment.

Technical Product Owner responsible for connecting customer needs with engineering capabilities, managing and prioritizing product backlogs, defining user stories and acceptance criteria, supporting roadmaps and estimation, coordinating dependencies, facilitating Agile ceremonies, accepting completed work, and applying feedback and delivery metrics to future releases.

Lead the architecture and hands-on development of an enterprise Agentic AI platform. Build multi-agent workflows, LLM tool integrations, orchestration layers, semantic guardrails, evaluation pipelines, and observability systems. Write production Python code, optimize context and costs, ensure secure deterministic execution, and guide an engineering squad through architecture decisions, code reviews, and delivery planning.

Build, test, and deploy production-grade autonomous AI agents and stateful workflows. Develop API integrations, tool-calling schemas, memory systems, ingestion pipelines, hybrid search, error handling, evaluation frameworks, and observability capabilities. Optimize prompts, latency, relevance, and reliability while integrating enterprise databases, CRMs, and internal systems. The role requires strong Python software engineering, LLM orchestration, testing, CI/CD, and containerization experience.

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.

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.