Join the LLR family of private equity-backed growth companies.

Platform Engineers (PE) at Equifax follow a similar discipline as Site Reliability Engineering (SRE) with focus on specific lines of products. This combines software and systems engineering for building and running large-scale, distributed, fault-tolerant systems. PE ensures that internal and external services meet or exceed reliability and performance expectations while adhering to Equifax engineering principles.

PE is also an engineering approach to building and running production systems – we engineer solutions to operational problems. Our PEs and SREs are responsible for overall system operation and we use a breadth of tools and approaches to solve a broad set of problems. Practices such as limiting time spent on operational work, blameless postmortems, proactive identification, and prevention of potential outages.

Our PE/SRE culture of diversity, intellectual curiosity, problem solving and openness is key to its success. Equifax brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn, grow and take pride in our work

What you’ll do

• Manage and maintain system(s) uptime across cloud-native (GCP, AWS) and hybrid architectures.
• Automation of workloads via different orchestration tools (Jenkins/ArgoCD/Github Actions) to develop and maintain pipelines
• Build infrastructure as code (IAC) patterns that meet security and engineering standards using one or more technologies (Terraform, scripting with cloud CLI, and programming with cloud SDK). Integration with orchestration tools to automate builds.
• Develop and maintain CI/CD pipelines for build, test and deployment of containerized applications (Docker/GKE/Helmcharts) and cloud architecture patterns, using orchestration tools and cloud-native toolchains.
• Manage deployments to Production environments following change management process and usage of tools (ServiceNOW). Build automated tooling to deploy service requests to push a change into production.
• Develop and manage monitoring and alerting dashboards to maintain and improve service availability across multiple platforms (Datadog/Panda/PagerDuty). Build runbooks that are comprehensive and detailed to manage detect, remediate and restore services.
• Solve problems and triage complex distributed architecture service maps. On call for high severity application incidents and improving run books to improve MTTR.
• Lead availability blameless postmortem and own the call to action to remediate recurrences.
• Cloud Certification Strongly Preferred
• KEY SKILLS TO DEVELOP: DevSecOps, Automation, Cloud-native tooling, Operational Excellence. Systems Thinking, Troubleshooting, Technical Communication/Presentation
  
  

What Experience You Need

• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent job experience required
• Basic certification in key platform tool(s) and/or 5-7 years of relevant experience
• Cloud Certification Strongly Preferred
  
  

What could set you apart

• 5-7 years of experience in software engineering, systems administration, database administration, and networking.
• 2+ years of experience developing and/or administering software in public cloud
• Experience in monitoring infrastructure and application uptime and availability to ensure functional and performance objectives.
• Experience in languages such as Go , JavaScript, node.js, Phyton, Java and/or Bash.
• Demonstrable cross-functional knowledge with systems, storage, networking, security and databases
• System administration skills, including automation and orchestration of Linux/Windows using tool stack such as Github, Terraform, Jenkins , ArgoCD, Cloud platforms (GCP/AWS), and/or containerized applications and microservices (Docker, Kubernetes, GKE/EKS)
• Proficiency with continuous integration and continuous delivery tooling and practices