AI Native Staff Architect (Remote)

Overview

AI Native Staff Architect responsible for hands-on cloud-native architecture across identity fraud detection, risk analysis, and device intelligence platforms.

What you'll do

• Lead architecture design and implementation of cloud-native solutions on AWS for identity fraud detection, risk analysis, and digital intelligence.
• Make architecture decisions and set technical strategy for digital intelligence and device fingerprinting domains.
• Establish coding standards, conduct architecture reviews, and mentor engineers on best practices.
• Design and implement RESTful services for large-volume real-time data with low latency and high availability.
• Architect systems using Java and cloud tooling (Spring Boot, Docker, Kubernetes, AWS services, Apache, Kafka, SQL/NoSQL).
• Embed AI/ML capabilities into product features for fraud detection, anomaly detection, risk scoring, and device intelligence.
• Support event-driven, data-intensive platforms and continuous delivery, observability, security, compliance, and cost optimization.

What you'll need

• 10+ years of experience designing cloud-native solutions on AWS.
• Expertise in AWS services including EC2, RDS, DynamoDB, Kinesis, and Lambda.
• Experience with Docker/Kubernetes and infrastructure-as-code.
• Experience designing scalable, resilient, and cost-optimized Java architectures for low-latency cloud applications.
• Experience architecting complex mission-critical systems serving millions of requests with performance/availability requirements.
• Expertise in event-driven, data-intensive platforms and APIs.
• Knowledge of asynchronous processing, Kafka, database optimization, and low-latency/high-throughput system techniques.

Details

• Employment is described as a remote role.