
Platform and AI Infrastructure Automation Engineer
Real job — pulled straight from Equifax’s careers page · Verified November 15, 2026 · No reposts.
Job description
Equifax is hiring a Platform and AI Infrastructure Automation Engineer — a full-time, based in Santiago, CL role. Apply directly on Equifax's careers page below.
Platform & AI Infra Automation Engineer
Location: CHL-Santiago-Technology-Center
Time Type: Full time
Job Description
Equifax es donde puedes impulsar tus posibilidades. Si deseas alcanzar tu verdadero potencial, trazar nuevos caminos, desarrollar nuevas habilidades, colaborar con mentes brillantes y tener un impacto significativo, queremos saber de ti.
The Automation Engineer will help develop, manage and execute plans for deploying changes, improving reliability and performance, boarding user groups, and improving the services provided by the technology team that supports software development tools.
What you will do
- Contribute as a senior DevOps team member focused on modernization and automation
- Be a champion for DevOps principles and culture change
- Be responsible for working on building, automating, and supporting application and infrastructure deployment services that target Equifax’s Public Cloud Environments.
- Design and implement monitoring and self-healing processes
- Identify and Implement Process Improvements and documentation
- Design and implement orchestration/workflows that integrate multiple services to provide self-service fully automated services.
- Utilize engineering and programming skills focused on enabling a DevOps model
- Configuration and change management
- Develop and document operations run books
- Lead and develop team from a technical and managerial perspective
- Participate in and provide feedback on systems engineering and design
- Provide input on the future execution of the delivery and management of environments with a strong emphasis on automation, security, scalability and resilience
What experience you need
- BS or Associate's Degree/Technical Certification or equivalent job experience required
- 5–7 years of directly related experience in platform engineering, infrastructure automation, DevOps, or site reliability engineering.
- Experience managing project costs, schedules, scope, and risk, with appropriate reporting of status and variance.
- Working knowledge of Google Cloud, Linux, Kubernetes, CI/CD tools, Google Suite Tools, Confluence and JIRA.
- Experience with scripting tools - Linux, Python and/or TypeScript/Javascript.
- Excellent verbal, written and ‘attention to detail’ skills
- Ability to work independently and with minimal supervision
- Strong interpersonal and time management skills
- A basic understanding of infrastructure and application components
- A sound understanding of SDLC Methodologies including Scrum and Agile Principles
- Excellent collaboration skills and ability to influence cross-functional teams including Infrastructure Services, Business Technology, Security and Operations and facilitate conversations that lead to agreed direction
- Ability and desire to work with people all over the world, with the probability of a varying work schedule to accommodate different time zones
What could set you apart
- Experience developing reusable infrastructure as code with Terraform or Crossplane.
- Experience operating Kubernetes platforms across cloud environments, particularly GKE.
- Experience using or integrating CI/CD technologies such as Jenkins, GitHub Actions, Sonar, Nexus, ArgoCD, Backstage.
- Experience implementing GitOps and Policy as Code to improve deployment consistency, security, and compliance.
- Software development and automation experience in two or more languages, preferably Python, Bash, and TypeScript/JavaScript.
- Strong Experience in system administration for OS (Linux, Windows) and/or middleware (web servers, application servers, database, etc)
- Experience working in a hybrid cloud environments, transforming applications from on-premise data centers to public cloud
- Experience with one or more Public Cloud Providers (Google, Amazon, Azure)
- Experience applying observability and AIOps to identify issues earlier, reduce manual work, and automate operational response.
- Experience configuring Datadog APM, dashboards, monitors, and PagerDuty integrations to track SLOs and support SLA compliance.
- Exposure to Vertex AI, Google ADK, LangGraph, and agent interoperability protocols such as MCP and A2A; hands-on experience is a plus.
Ofrecemos modalidad de trabajo híbrido, horarios flexibles, días libres adicionales, paquetes integrales de compensación y seguro médico complementario, convenio con gimnasio, beneficios para madres y padres, acceso a nuestra plataforma de aprendizaje en línea, programas de reconocimiento, desarrollo de carrera profesional y un entorno diverso y multicultural, ¡entre otros!
Equifax fue ranqueado en el top 5 de empresas con mejor desarrollo de carrera por LinkedIn.
¿Estás listo para impulsar tus posibilidades? ¡Aplica hoy y comienza un camino hacia una nueva y emocionante carrera en Equifax, donde puedes marcar la diferencia!
Primary Location:
CHL-Santiago-Technology-CenterFunction:
Function - Tech Engineering and Service OpsSchedule:
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Frequently asked questions
What skills are required for Platform and AI Infrastructure Automation Engineer at Equifax?
The required skills for Platform and AI Infrastructure Automation Engineer at Equifax include: GCP, Linux, Kubernetes, CI/CD, Confluence, JIRA, Python, TypeScript, JavaScript, Terraform, Jenkins, GitHub Actions, ArgoCD, Bash, Datadog, Scrum, Agile.
What is the seniority level for Platform and AI Infrastructure Automation Engineer at Equifax?
Platform and AI Infrastructure Automation Engineer at Equifax is a Senior / Staff level position.
How do I apply for Platform and AI Infrastructure Automation Engineer at Equifax?
You can view the full description and apply for Platform and AI Infrastructure Automation Engineer at Equifax on EchoJobs: https://echojobs.io/job/equifax-platform-ai-infra-automation-engineer-sr0zd.