Senior DevOps Engineer

Experian

7d•Remote

About The Position

Experian Consumer Services is seeking a Senior DevOps Engineer passionate about cloud architecture, automation, and operational excellence. This role involves leveraging AI-driven tooling to modernize platform development and operations. The ideal candidate thrives in high-scale, high-availability environments and enjoys simplifying complexity through automation. You will design, implement, and evolve cloud-native infrastructure and CI/CD platforms for customer-facing digital products. This hands-on position focuses on building resilient systems, enabling developer self-service, accelerating delivery pipelines, and integrating intelligent automation for improved operational efficiency and reliability. You will collaborate with Engineering, Security, and Infrastructure teams to ensure scalable, secure, and observable cloud environments.

Requirements

2+ years of hands-on experience building and maintaining CI/CD pipelines and artifact management tools (GitHub, GitLab, Harness, Artifactory, and CodePipeline).
5+ years of experience in DevOps, Site Reliability, or Systems Engineering roles.
Expertise in AWS services and Linux-based environments.
Proficiency in Python or similar scripting languages.
Advanced English communication skills.
Experience with Infrastructure as Code (Terraform, CloudFormation).
Experience with distributed systems, system architecture, and networking fundamentals.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Experience with Kubernetes and container orchestration.

Responsibilities

Design, deploy, and support AWS-based cloud platforms using best practices for high availability, fault tolerance, and security.
Develop Infrastructure as Code using tools such as Terraform or CloudFormation.
Optimize platform performance, scalability, and cost efficiency.
Improve reliability across distributed systems.
Design modern CI/CD pipelines using tools such as GitHub, Harness, CodePipeline, CodeBuild, and CodeDeploy.
Promote automation of infrastructure provisioning and application deployments.
Champion the use of AI-powered tooling to enhance pipeline optimization, intelligent testing and deployment strategies, incident detection and root cause analysis, and operational insights and anomaly detection.
Identify opportunities to reduce manual effort through intelligent automation and platform improvements.
Implement and improve monitoring, alerting, and logging solutions.
Leverage advanced analytics and AI-assisted observability tools to improve system diagnostics.
Perform advanced troubleshooting across cloud and production environments.
Participate in an on-call rotation to support critical systems.
Lead technical projects from design through implementation and operational support.
Promote DevOps best practices and a culture of continuous improvement.
Partner with Engineering, Security, and Data teams.
Contribute to documentation, knowledge sharing, and platform standards.