Platform Engineer
AI in this role
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.
We are looking for an experienced AWS Platform Engineer to help design our AWS Analytics Platform. Reporting into our Product Manager you'll help create a secure, scalable and automated cloud platform that enables engineering teams to deliver data products and business-critical services safely.
Working with our product, Security, Architecture and Engineering teams, you'll help shape the future of our cloud platform by improving developer experience, increasing automation across our AWS estate.
Responsibilities:
- Design secure, scalable AWS infrastructure using Infrastructure as Code.
- Develop reusable platform capabilities that ensure engineering teams to self-serve infrastructure and cloud services.
- Improve the platform's reliability, resilience, scalability and performance.
- Support multi-account AWS environments using AWS best practices.
Automation and Platform Engineering
- Build Infrastructure as Code using Terraform, CloudFormation or equivalent technologies.
- Automate provisioning, configuration management and operational processes.
- Develop CI/CD pipelines that accelerate safe and reliable software delivery.
Reliability and Operations
- Implement monitoring, logging, alerting and observability across the platform.
- Troubleshoot complex infrastructure, networking and application issues.
- Participate in incident response, problem management and root cause analysis.
Security and Governance
- Apply security-by-design principles across the platform.
- Implement IAM, secrets management, encryption and network security controls.
- Support vulnerability remediation, compliance activities and cloud governance.
- Promote AWS Well-Architected and security best practices.
- Hands-on AWS experience and experience building high-quality cloud platforms and production environments.
- Experience designing, deploying, and operating secure, scalable, and resilient production cloud environments using Infrastructure as Code tools such as Terraform or CloudFormation.
- Building and supporting CI/CD pipelines and automation frameworks.
- Excellent troubleshooting, monitoring, and operational support skills.
- Building cloud platforms that improve developer productivity.
- Implementing monitoring, observability and operational tooling.
- DNS, TCP/IP, Routing, Load balancing, Firewalls, Hybrid networking concepts
- Infrastructure as Code experience using Terraform, CloudFormation or similar.
- Experience developing reusable infrastructure modules.
- Hybrid working, 2 days a week in our Nottingham office
- Great compensation package and discretionary bonus
- Core benefits include pension, bupa healthcare, sharesave scheme and more
- 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.
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 Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
#LI-Hybrid
This is a hybrid remote/in-office role.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
How we rate this
Platform Engineer at Experian rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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