Senior Full-Stack Engineer - AI-Driven Risk Tech

Capital One Group; McLean (VA); In loco; USD 230.000 - 262.000; Tempo pieno

Descrizione del lavoro

Capital One is seeking a high-impact Full-stack Software Engineer in Risk Tech, focused on building data-driven, AI-enabled risk management solutions. The role emphasizes distributed microservices, cloud-native systems, and collaboration across product and engineering teams to deliver robust capabilities for regulatory needs.

You will work with Java, Scala, Python, Go, Node.js, JavaScript/TypeScript, Docker, Kubernetes, and AWS services to drive architecture and platform roadmaps, ensuring high

Competenze

• Bachelor's Degree or higher in Computer Science or a related quantitative field
• At least 6 years of experience in software engineering (Internship experience does not apply)
• At least 3 years of experience with public cloud platforms (AWS, GCP, Azure)

Mansioni

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
• Share passion for staying on top of tech trends, experimenting with and learning new technologies, mentoring other engineers
• Collaborate with product managers to deliver robust cloud-based solutions for millions of users
• Utilize Java, Scala, Python, Go, Node.js, JavaScript/TypeScript, AWS tools and services
• Provide technical leadership across multiple teams and shape system architecture
• Drive end-to-end design and implementation of large-scale distributed or cloud-native systems
• Partner with architects to define platform roadmaps and shared services strategy

Conoscenze

Distributed microservices

Full stack development

Cloud native

Java

Scala

Python

Go

JavaScript/TypeScript

Formazione

Bachelor's Degree in Computer Science or related field

Strumenti

Docker

Kubernetes

Git

CI/CD

Descrizione del lavoro

Capital One is seeking a high-impact Full-stack Software Engineer in Risk Tech, focused on building data-driven, AI-enabled risk management solutions. The role emphasizes distributed microservices, cloud-native systems, and collaboration across product and engineering teams to deliver robust capabilities for regulatory needs.

You will work with Java, Scala, Python, Go, Node.js, JavaScript/TypeScript, Docker, Kubernetes, and AWS services to drive architecture and platform roadmaps, ensuring high