Equifax is seeking a creative, high-energy and driven Cloud engineer with hands-on development skills to work on a variety of meaningful projects. Our cloud engineering positions provide you the opportunity to join a team of talented engineers working with leading-edge technology. You are ideal for this position if you are a forward-thinking, committed, and enthusiastic cloud engineer who is passionate about technology.
What you will do
Kubernetes: Design, deploy, and manage Kubernetes clusters in production, optimizing for performance and reliability.
Cloud Infrastructure: Build and maintain scalable infrastructure on GCP (or other cloud providers), leveraging automation tools like Terraform.
Performance Engineering:
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Identify and analyze performance bottlenecks in applications and infrastructure.
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Develop and implement performance optimizations.
Observability: Implement comprehensive monitoring and logging solutions to proactively detect and resolve issues.
Incident Response: Participate in on-call rotations, troubleshooting and resolving production incidents with a focus on minimizing downtime.
Collaboration: Work closely with product development teams to promote reliability best practices and ensure smooth deployments.
Manage system(s) uptime across cloud-native (AWS, GCP) and hybrid architectures.
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).
Build CI/CD pipelines for build, test and deployment of application and cloud architecture patterns, using platform (Jenkins) and cloud-native toolchains.
Use automated tooling to push changes into production
Build runbooks that are comprehensive and detailed to manage detect, remediate and restore services.
On call for high severity application incidents and improving run books to improve MTTR
Participate in a team of first responders in a 24/7 operating model for incident and problem management.
Effectively communicate to technical peers and team members in both written and verbal formats.
What experience you need
BS degree in a STEM major or equivalent job experience required; Master’s Degree preferred; AI/ML coursework preferred
Certification in cloud or automation preferred
Experience in one or more cloud environments (GCP preferred)
Experience using one or more automation languages (Python,PowerShell, Go)
Experience with programming languages (Java, C#, javascript) preferred
Solid understanding of networking
Experience with one or more other technologies (database, Big Data, AI, etc)
Cloud Certification Strongly Preferred
Strong Kubernetes knowledge and hands-on production administration skills.
Proficient in Identifying and analyzing performance bottlenecks in applications and infrastructure
Proficiency with continuous integration and continuous delivery (CI/CD) using tools like Jenkins, Git.
experience monitoring infrastructure and application performance.
Knowledge of network infrastructure and security basics (DNS, subnets, firewalls, load balancers).
What could set you apart
An ability to demonstrate successful performance of our Success Profile skills, including:
Experience with GCP/GKE, Composer.
Certifications in Kubernetes (CKA, CKAD) and/or other cloud certifications.
Programming experience in one or more languages such as Python, Bash, Java, Go, Groovy or similar languages.
You take a system problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
You have experience managing Infrastructure as code via tools such as Terraform or CloudFormation
You are passionate for automation with a desire to eliminate toil whenever possible
You’ve built software or maintained systems in a highly secure, regulated or compliant industry
You thrive in and have experience and passion for working within a DevOps culture and as part of a team
Agile environments (e.g. Scrum, XP, Kanban)
K8S Config management/GitOPs - ARGO CD, ACM, etc