Cloud Application Modernization Senior Staff Engineer, Claims Clearinghouse
Experian is hiring a Cloud Application Modernization Senior Staff Engineer, Claims Clearinghouse. Level rates it ; you can apply on Experian.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classes it as a lead role.
- Experian has 390 other open roles on Level.
- Posted in the last few days.
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're looking for a hands-on engineer to help modernize business-critical applications and move legacy Windows-based .NET workloads into scalable, secure services on AWS EKS. You’ll work closely with application, database, platform, security, and operations teams to simplify how applications run, improve PostgreSQL performance, strengthen monitoring and alerting, and automate infrastructure delivery — and bring a curiosity about AI, automation, and cloud-native engineering into practical, responsible improvements for the team.
Location
At Experian, we believe great work happens when people come together. We're focused on attracting talent in and around our designated hub locations who are open to collaborating with colleagues in person. Aligning employees to these talent markets helps foster collaboration, strengthen team connections, and support long-term career growth within Experian. You will report to the Director of Cloud Engineering, and reside in or near one of our collaboration hubs:
Costa Mesa, CA; San Jose, CA; Allen, TX; Austin, TX; Franklin, TN; New York, NY; Schaumberg, IL; Washington, D.C.; Atlanta, GA; Boston, MA; Seattle, WA
You will have opportunity to:
- Help migrate and modernize Windows-based .NET applications into containerized services running on AWS EKS, designing and supporting Kubernetes deployments built for reliability, scalability, and security.
- Tune PostgreSQL performance — stored procedures, functions, queries, and indexes — partnering with application and DBA teams to identify and resolve bottlenecks.
- Build and improve monitoring, logging, alerting, and operational runbooks using tools such as Dynatrace, Splunk, and CloudWatch.
- Support application security needs, including vulnerability remediation, patching, secure configuration, and compliance-related follow-up.
- Create and maintain Infrastructure as Code using Terraform and Terragrunt, with an emphasis on repeatable, maintainable delivery.
- Partner with DevOps and platform teams on CI/CD, release support, environment provisioning, and production deployments.
- Troubleshoot issues spanning application, infrastructure, database, networking, security, and observability layers.
- Balance multiple workstreams at once, keeping priorities clear and driving steady progress toward delivery commitments.
- 8+ years' hands-on experience with AWS cloud services and application modernization, including migrating Windows-based .NET applications into containers (AWS EKS or Kubernetes preferred).
- Working knowledge of core Kubernetes concepts — pods, deployments, services, ingress, config maps, secrets, resource management, and troubleshooting.
- Experience tuning PostgreSQL workloads, including stored procedures, functions, indexes, execution plans, and queries.
- Hands-on experience with observability and monitoring tools such as Dynatrace, Splunk, and CloudWatch.
- Experience remediating application security findings and supporting secure deployment practices.
- Experience building and maintaining Infrastructure as Code using Terraform and Terragrunt.
- Experience working in Agile, DevOps, or platform engineering environments with CI/CD and automated deployments.
- Reside in, or near the designated Collaboration Hub(s) for this role.
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.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay 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.
Benefits/Perks:
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
- Explore all our exciting benefits here: https://myexperianbenefits.com/
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.
Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers
#LI-Hybrid
How we rate this
Cloud Application Modernization Senior Staff Engineer, Claims Clearinghouse at Experian rates 24 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. Read the description and count the AI tools, models and workflows it names.
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