Senior Full-Stack Engineer - AI-Driven Risk Platform

COMFORT SYSTEMS; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Full-stack Engineer 4 in Risk Tech to drive a major transformation with AI-powered risk management tools. You will collaborate with the GRC team to deliver proprietary solutions across the company, leveraging AI and state-of-the-art technologies.

You will work with Java, Scala, Python, Go, Node.js, and TypeScript, and use AWS/GCP/Azure, containers (Docker/Kubernetes), and diverse data stores to build scalable cloud-based systems that support risk management and customer

Qualifications

• Bachelor's Degree or higher in Computer Science or a related field.
• At least 4 years of experience in software engineering (Internship experience does not apply).
• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure).

Responsibilities

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems.
• Mentor engineers and participate in technical communities.
• Collaborate with digital product managers to deliver robust cloud-based solutions for millions of Americans.
• Utilize Java, Scala, Python, Go, Node.js, TypeScript, and various AWS tools/services.
• Provide technical leadership and set standards for design, development, and operations.
• Define service boundaries and reusable frameworks with architects.
• Identify areas for improvement and reduce technical debt.

Skills

Distributed microservices

Full stack engineering

Mentoring engineers

AI tools

CI/CD pipelines

Git version control

Observability

Problem solving

Education

Bachelor's Degree in CS or related

Master's Degree in CS

Tools

Docker

Kubernetes

AWS

GCP

Azure

Git

Job description

Capital One is seeking a Full-stack Engineer 4 in Risk Tech to drive a major transformation with AI-powered risk management tools. You will collaborate with the GRC team to deliver proprietary solutions across the company, leveraging AI and state-of-the-art technologies.

You will work with Java, Scala, Python, Go, Node.js, and TypeScript, and use AWS/GCP/Azure, containers (Docker/Kubernetes), and diverse data stores to build scalable cloud-based systems that support risk management and customer