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Experian

Venture capital arm funding data startups

AI Native Staff Architect

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • 10+ years of experience designing cloud-native solutions on Amazon Web Services and expertise in Amazon Web Services services including EC2, RDS, DynamoDB, Kinesis, and Lambda, Docker, Kubernetes, and infrastructure as code.
  • Experience designing scalable, resilient, and cost-optimized Java architectures for high-volume, low-latency, cloud-native applications.
  • Experience architecting complex, mission-critical systems serving millions of requests with performance and availability requirements.
  • A track record translating requirements into technical solutions while managing multiple engineering teams and partner dependencies.
  • Expertise in designing event-driven, data-intensive platforms and application programming interfaces.
  • Knowledge of asynchronous processing, message brokers such as Kafka, database optimization, application programming interface design principles, and techniques for achieving low-latency, high-throughput systems.
  • Experience leading technical strategy, establishing architecture standards, and mentoring engineers.
  • Experience translating technical concepts and aligning engineering with business objectives.

Responsibilities

  • Lead architecture design and implementation of cloud-native solutions for identity fraud detection, risk analysis, and digital intelligence platforms on Amazon Web Services.
  • Ensure solutions are scalable, resilient, secure, and efficient while maintaining agreement on goals.
  • Make architecture decisions and manage technical strategy for the digital intelligence and device fingerprinting domains.
  • Establish coding standards, conduct architecture reviews, and mentor engineers on best practices.
  • Design and implement Representational State Transfer services that handle large volumes of real-time data with low latency and high availability.
  • Architect systems using Java, Spring Boot, Docker, Kubernetes, Amazon Web Services services, Apache, Kafka, and NoSQL and SQL databases.
  • Provide technical leadership across engineering teams on solution design, architecture patterns, and technology choices.
  • Partner with product, engineering, data science, security, and strategic partners to translate fraud and risk requirements into technical solutions.
  • Build event-driven, data-intensive platforms processing device signals, behavioral data, fraud indicators, and risk scoring at scale.
  • Architect systems supporting continuous delivery, observability, security, compliance, and cost optimization for operational efficiency.
  • Guide artificial intelligence-native engineering practices and embed artificial intelligence and machine learning capabilities into product features, including fraud detection, anomaly detection, risk scoring, and device intelligence.
  • Promote artificial intelligence tool adoption for development, productivity testing, and operational efficiency.

About the Company

Experian

Venture capital arm funding data startups

Experian Ventures is the venture capital arm of Experian, a global information services company. It provides investment capital and strategic partnerships to startups, helping them grow by leveraging Experian's data assets, technology, and global network. The fund focuses on backing entrepreneurs who can disrupt data- and tech-driven markets, using Experian's platforms and reach to accelerate portfolio companies. Unlike standalone funds, it differentiates itself with access to Experian's scale, data resources, and worldwide offices, enabling closer collaboration and faster go-to-market support. The goal is to fund and mentor startups that can shape the future of information services while expanding Experian's ecosystem and influence across regions.

Company size
1-10
Company stage
Not listed
Total funding
$82M
Headquarters
Costa Mesa, CA
Founded
1995

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