AI Platforms & Customer Management Modernization Lead

Capital One; New York (NY); On-site; USD 343,000 - 392,000; Full time

Job summary

Capital One is seeking a Senior Staff Engineer to lead a customer management engineering organization, setting the technical agenda for foundational platforms and horizontal thread teams. You will mentor leaders, guide real-time credit decisioning and offers, and drive the modernization of systems using GenAI tooling and scalable architectures.

The role requires hands-on full-stack coding and collaboration across product and engineering leaders to expand Capital One’s reach with innovative,

Qualifications

• Bachelor's degree or higher in Computer Science or a related quantitative field.
• 9+ years of experience in software engineering, solution architecture, enterprise architecture, cloud computing, and data architecture.

Responsibilities

• Articulate and evangelize a bold technical vision for your domain.
• Decompose complex problems into practical, operational solutions.
• Ensure the quality of technical design and implementation.
• Serve as an authoritative expert on performance, scalability, and operability.
• Lead cross‑functional teams and mentor engineers across the org.
• Drive modernization of monolithic systems to microservices and event‑driven platforms.
• Collaborate with leaders to define long‑term platform strategy and API standards.

Skills

Software engineering

Solution architecture

Enterprise architecture

Cloud computing

Data architecture

Web technologies

JavaScript/TypeScript

HPC & ML

Public cloud

Mentoring

Education

Bachelor's degree in CS or related

Master’s degree (preferred)

Tools

Go

Java

JavaScript

Python

TypeScript

SQL

Job description

Capital One is seeking a Senior Staff Engineer to lead a customer management engineering organization, setting the technical agenda for foundational platforms and horizontal thread teams. You will mentor leaders, guide real-time credit decisioning and offers, and drive the modernization of systems using GenAI tooling and scalable architectures.

The role requires hands-on full-stack coding and collaboration across product and engineering leaders to expand Capital One’s reach with innovative,