Senior Full-Stack Engineer, AI Platform & Cloud

Capital One Group; New York, Northern (NY, KY); Hybrid; USD 251,000 - 286,000; Full time

Job summary

Capital One seeks a Full-stack Engineer 5 for AI Platform & Knowledge Library within the Enterprise Platforms Technology group in New York. You will lead a portfolio of diverse technology projects and mentor engineers across distributed microservices and full-stack systems, delivering cloud-based solutions that empower millions of customers.

The role requires strong experience across Java, Scala, Python, Go, Node.js, TypeScript, databases, Docker, Kubernetes, and AWS, with a track record of

Qualifications

• Bachelor's degree or higher in Computer Science or a related field.
• 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) or cloud-based tools.

Responsibilities

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full-stack systems.
• Mentor other members of the engineering community and stay current with tech trends.
• Collaborate with digital product managers and deliver cloud-based solutions for millions of users.

Skills

Distributed microservices

Team leadership

Cloud computing

Open source

AI tooling

Full-stack development

Mentoring

Education

Bachelor's degree in CS or related field

Master's degree (preferred)

Tools

Docker

Kubernetes

AWS

Git

CI/CD

TypeScript

Java

Python

Scala

Go

Node.js

Job description

Capital One seeks a Full-stack Engineer 5 for AI Platform & Knowledge Library within the Enterprise Platforms Technology group in New York. You will lead a portfolio of diverse technology projects and mentor engineers across distributed microservices and full-stack systems, delivering cloud-based solutions that empower millions of customers.

The role requires strong experience across Java, Scala, Python, Go, Node.js, TypeScript, databases, Docker, Kubernetes, and AWS, with a track record of