Senior DevOps Engineer

Experian

About The Position

Experian Consumer Services Powering Innovation Through Scalable, Intelligent Platforms At Experian Consumer Services, we build data-driven products that help millions of consumers make smarter financial decisions. Innovation, reliability, and speed are core to how we operate — and our platform engineering teams are at the center of it all. We’re looking for a Senior DevOps Engineer who is passionate about cloud architecture, automation, and operational excellence — and excited about leveraging AI-driven tooling to modernize how platforms are built and operated. If you thrive in high-scale, high-availability environments and enjoy turning complexity into elegant automation, we’d love to meet you. As a Senior DevOps Engineer, you will design, implement, and evolve cloud-native infrastructure and CI/CD platforms that power a fast-paced, customer-facing digital ecosystem. This is a hands-on role focused on building resilient systems, enabling developer self-service, accelerating delivery pipelines, and integrating intelligent automation to improve operational efficiency and reliability. You’ll collaborate closely with Engineering, Security, and Infrastructure teams to ensure our cloud environments are scalable, secure, observable, and continuously improving.

Requirements

2+ years of hands-on experience building and maintaining CI/CD pipelines and artifact management tools (GitHub, GitLab, Harness, Artifactory, CodePipeline, etc.)
5+ years of experience in DevOps, Site Reliability, or Systems Engineering roles
Strong expertise in AWS services and Linux-based environments
Proficiency in Python or similar scripting languages
Excellent communication kkills
Experience with Infrastructure as Code (Terraform, CloudFormation, etc.)
Strong understanding of 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
Build and maintain Infrastructure as Code using tools such as Terraform or CloudFormation
Continuously optimize platform performance, scalability, and cost efficiency
Improve resilience and reliability across distributed systems
Design and maintain modern CI/CD pipelines using tools such as GitHub, Harness, CodePipeline, CodeBuild, and CodeDeploy
Drive automation of infrastructure provisioning and application deployments
Champion the adoption of AI-powered tooling to enhance: Pipeline optimization Intelligent testing and deployment strategies Incident detection and root cause analysis 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 initiatives from design through implementation and operational support
Promote DevOps best practices and a culture of continuous improvement
Partner cross-functionally with Engineering, Security, and Data teams
Contribute to documentation, knowledge sharing, and platform standards