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Senior DevOps Engineer

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Published
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93Application actions
24 Aug 2026Apply before
Opportunity details

About this role.

AI Summary

Experian seeks a Senior DevOps Engineer to design, implement, and evolve cloud-native infrastructure and CI/CD platforms for consumer-facing digital products. The role involves hands-on work with AWS, Infrastructure as Code, CI/CD pipelines, and AI-driven automation to improve operational efficiency and reliability. Candidates need 5+ years of DevOps experience, expertise in AWS and Terraform, and proficiency in Python. The company values innovation, collaboration, and a culture of continuous improvement.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard
AI insightThe role requires advanced technical skills (AWS, Terraform, Python, CI/CD) and experience with AI integration, plus leadership and collaboration. The 5+ years experience requirement and on-call rotation add to the difficulty.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate
$150,000
US market range$120k–$190k
AI insightThe offered salary is not specified, but based on market data for a Senior DevOps Engineer in the US, the median is around $150,000. This role is likely to offer competitive compensation aligned with industry standards for experienced professionals in cloud and automation.

Core skills

Skills and capabilities most closely associated with this opportunity.

Cover letter sample

Dear Hiring Manager,

I am excited to apply for the Senior DevOps Engineer position at Experian. With over 5 years of experience in DevOps and cloud engineering, I have a strong track record of designing scalable, high-availability AWS platforms and automating CI/CD pipelines using Terraform and GitHub Actions. I am particularly drawn to Experian's focus on leveraging AI-driven tooling to modernize platform operations, as I have recently integrated intelligent automation for incident detection and deployment optimization in my current role.

I thrive in collaborative environments and enjoy leading technical projects from design to operational support. My expertise in Python scripting and Kubernetes, combined with a passion for reliability and performance, aligns well with the requirements of this role. I look forward to the opportunity to contribute to Experian's innovative team and help power smarter financial decisions for consumers.

Thank you for considering my application.

Sample interview questions
Describe your experience with designing and implementing CI/CD pipelines. What tools and best practices do you use?

I have designed CI/CD pipelines using GitHub Actions, Harness, and AWS CodePipeline. I follow best practices like infrastructure as code, automated testing, and deployment strategies such as blue-green and canary releases to minimize downtime and ensure reliability.

How do you approach troubleshooting a complex production issue in a distributed system?

I start by gathering metrics and logs from monitoring tools like CloudWatch and Datadog, then isolate the component using a systematic approach. I use root cause analysis techniques and collaborate with team members to resolve the issue, documenting findings for future prevention.

Can you give an example of how you've used AI or automation to improve operational efficiency?

I implemented an AI-based anomaly detection system for our monitoring alerts, which reduced false positives by 40%. I also automated routine tasks like scaling and patching using Python scripts and Terraform, saving the team 10 hours per week.

What is your experience with Kubernetes and container orchestration in production?

I have deployed and managed Kubernetes clusters on AWS EKS, handling pod scaling, service mesh integration, and rolling updates. I use Helm for package management and ensure security with RBAC and network policies.

How do you ensure security and compliance in cloud infrastructure?

I implement security best practices like least privilege IAM roles, encryption at rest and in transit, and regular vulnerability scanning. I use tools like AWS Config and Terraform Sentinel to enforce compliance policies and conduct regular audits.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

Company 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-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

Leadership & Collaboration

  • 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

Qualifications

  • 2+ years of hands-on experience building and maintaining CI/CD pipelines and artifact management tools (GitHub, GitLab, Harness, Artifactory, 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 communiation skills
  • Experience with Infrastructure as Code (Terraform, CloudFormation, etc.)
  • 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

Additional Information

Our uniqueness is that we celebrate yours. Experian’s people first, inclusive and purpose driven culture is multi award-winning; World’s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

This is a remote role in Costa Rica. No relocation available. #LI-ML2 #LI-Remote

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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