Lead Full-Stack Engineer, AI Agentic Tech

Capital One; New York (NY); On-site; USD 179,000 - 225,000; Full time

Job summary

Capital One is seeking a Lead Software Engineer to drive the AI content generation pipeline and a portfolio of distributed microservices. You will mentor engineers, collaborate with product managers, and deliver robust cloud-based solutions that empower millions of Americans.

Required skills include Java, JavaScript/TypeScript, Python, Go, and experience with Docker, Kubernetes, and AWS. This role involves leading cross-functional teams and advancing regulatory-compliant engineering practices.

Qualifications

• Bachelor's degree in CS or related quantitative field.
• 4+ years in software engineering; internship excluded.
• 2+ years with public cloud platforms (AWS, GCP, Azure).
• Experience with CI/CD, IaC, automated testing is a plus.

Responsibilities

• Build and operate the agentic workflow harness and core AI content pipeline.
• Integrate the agentic pipeline with enterprise LLM gateway and manage APIs.
• Lead a portfolio of complex microservices and full-stack projects.
• Mentor engineers and engage with internal/external tech communities.
• Collaborate with product managers to deliver cloud-based solutions.
• Utilize JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, Go and various AWS tools.

Skills

Go

Java

JavaScript/TypeScript

Python

Rust

C#

Scala

Mentoring engineers

Observability

Distributed systems

Education

Bachelor's Degree in CS or related

Master’s Degree (preferred)

Tools

Docker

Kubernetes

AWS

GCP

Azure

Git/GitHub/Bitbucket

Job description

Capital One is seeking a Lead Software Engineer to drive the AI content generation pipeline and a portfolio of distributed microservices. You will mentor engineers, collaborate with product managers, and deliver robust cloud-based solutions that empower millions of Americans.

Required skills include Java, JavaScript/TypeScript, Python, Go, and experience with Docker, Kubernetes, and AWS. This role involves leading cross-functional teams and advancing regulatory-compliant engineering practices.