Senior Full-Stack Engineer — Cloud, AI & AWS Expert

Capital One; Richmond (VA); Hybrid; USD 209,000 - 239,000; Full time

Job summary

Capital One in Richmond, VA seeks a Full-stack Engineer 5 with deep Python, AWS, and AI experience to drive resilience engineering in cloud operations. You’ll lead and design distributed microservices, mentor engineers, and help shape platform roadmaps while upholding security and regulatory needs.

Join a hybrid team that values on-site collaboration and cutting-edge tooling, including Docker, Kubernetes, and OpenAI APIs, to deliver reliable systems and modern AI-powered solutions at scale.

Qualifications

• Bachelor's Degree or higher in Computer Science or related quantitative field
• At least 6 years of software engineering experience
• At least 3 years with public cloud platforms or virtualization technologies

Responsibilities

• Provide technical leadership across multiple teams and complex projects with distributed microservices and full-stack systems
• Drive end-to-end design and implementation of large-scale, cloud-native systems with high reliability and performance
• Utilize Python, Go, Node.js, JavaScript/TypeScript and containers (Docker) with Kubernetes and AWS tools
• Partner with architects and product leaders to define platform roadmaps and service boundaries
• Establish engineering standards for design, development, and operational excellence
• Identify areas for improvement and reduce technical debt through refactoring
• Mentor engineers and engage in internal/external tech communities
• Influence long-term tech strategy in a build-it-own-it environment

Skills

Technical leadership

Distributed systems

Mentoring engineers

Architecture reviews

AI tooling awareness

Education

Bachelor's degree in CS

Tools

AWS

Docker

Kubernetes

Python

Go

JavaScript/TypeScript

OpenAI APIs

Job description

Capital One in Richmond, VA seeks a Full-stack Engineer 5 with deep Python, AWS, and AI experience to drive resilience engineering in cloud operations. You’ll lead and design distributed microservices, mentor engineers, and help shape platform roadmaps while upholding security and regulatory needs.

Join a hybrid team that values on-site collaboration and cutting-edge tooling, including Docker, Kubernetes, and OpenAI APIs, to deliver reliable systems and modern AI-powered solutions at scale.