AI Native Staff Architect - Remote Cloud Platform Lead

Experian; United States; Remote; USD 137.000 - 247.000; Vollzeit

Benefits dieser Stelle

Great compensation package and bonus计划

Core benefits including medical, 401K

Zusammenfassung

Experian is seeking an AI Native Staff Architect to define the future of our platform with a balance of long-term vision and hands-on execution. You will lead architecture for cloud-native solutions on AWS, mentor engineers, and participate in solution design, prototyping, and implementation while reporting to the Director of Engineering.

You will design scalable systems using Java, Spring Boot, Docker, Kubernetes, Kafka, and NoSQL/SQL databases, guiding AI/ML capabilities, observability,

Qualifikationen

• 10+ years designing cloud-native solutions on AWS
• Experience with Java architectures for high-volume, low-latency apps
• Proven ability to lead multiple engineering teams and align with business goals
• Expertise in event-driven, data-intensive platforms and APIs
• Knowledge of asynchronous processing and messaging (Kafka)
• Strong background in architecture standards and mentoring engineers

Aufgaben

• Lead architecture design for cloud-native fraud and risk platforms on AWS
• Define technical strategy for digital intelligence and device fingerprinting
• Mentor engineers and establish architecture reviews
• Design RESTful services to handle large real-time data with low latency
• Guide AI/ML embedding into product features and promote AI tooling adoption

Kenntnisse

AWS Cloud

Java

Kubernetes

Docker

Spring Boot

Kafka

APIs

Event-driven design

Tools

Kafka

Spring Boot

Docker

Kubernetes

Jobbeschreibung

Experian is seeking an AI Native Staff Architect to define the future of our platform with a balance of long-term vision and hands-on execution. You will lead architecture for cloud-native solutions on AWS, mentor engineers, and participate in solution design, prototyping, and implementation while reporting to the Director of Engineering.

You will design scalable systems using Java, Spring Boot, Docker, Kubernetes, Kafka, and NoSQL/SQL databases, guiding AI/ML capabilities, observability,