
Senior DevOps Engineer
ExperianCompany Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job Description
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, customer-facing digital products.
This is a hands-on role focused on building resilient systems, allowing developer self-service, accelerating delivery pipelines, and integrating intelligent automation to improve operational efficiency and reliability.
You'll collaborate with Engineering, Security, and Infrastructure teams to ensure our cloud environments are scalable, secure, observable, and improvement.
What You'll Do
Cloud & Infrastructure Engineering
- 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 CI/CD, Automation & AI Integration
- 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
- Operational insights and anomaly detection
- Identify opportunities to reduce manual effort through intelligent automation and platform improvements
Observability & Operational Excellence
- Implement and improve monitoring, alerting, and logging solutions
- Leverage advanced analytics and AI-a
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