Remote Distinguished Full-Stack Engineer

Capital One; Richmond (VA); On-site; USD 244,700 - 279,200; Full time

Job summary

Capital One is seeking a Distinguished Engineer to drive architectural excellence and AI-native engineering across Finance Technology. You will lead with a bold technical vision, decompose complex problems, and mentor engineers while delivering scalable, high-impact solutions in a cloud-first environment.

You will collaborate with AI/ML, data analytics, product management, and people leaders to advance liquidity management, predictive analytics, and financial planning infrastructure.

Qualifications

• Bachelor's degree or higher in computer science, applied mathematics, or a related technical field.
• 10+ years in software engineering, architecture, or ML systems.
• Hands-on coding in Python, Java, Go, Scala, or JavaScript/TypeScript.
• Experience with AI-native engineering and CI/CD tooling.
• Experience with cloud platforms (AWS, Azure, GCP).

Responsibilities

• Articulate and evangelize a bold technical vision for your domain.
• Decompose complex problems into practical, operational solutions.
• Ensure quality of technical design and implementation.
• Lead non-functional system characteristics such as performance and scalability.
• Mentor engineers and coach the tech community across teams.
• Lead PoC development for emerging AI frameworks and patterns.
• Collaborate across finance technology towers for cross-cutting impact.

Skills

Software engineering

Architecture design

Cloud computing

Data engineering

ML frameworks

Python

Java

Go

Scala

JavaScript/TypeScript

Education

Bachelor's or Master's in CS/Applied Mathematics

Tools

AWS

Azure

Google Cloud

Job description

Capital One is seeking a Distinguished Engineer to drive architectural excellence and AI-native engineering across Finance Technology. You will lead with a bold technical vision, decompose complex problems, and mentor engineers while delivering scalable, high-impact solutions in a cloud-first environment.

You will collaborate with AI/ML, data analytics, product management, and people leaders to advance liquidity management, predictive analytics, and financial planning infrastructure.