Staff Engineer: AI-Native Cloud & Platform Architect

Capital One; Chicago (IL); On-site; USD 245,000 - 279,000; Full time

Job summary

Capital One is seeking a Staff Engineer to lead in cloud‑native, AI‑assisted software development. You will act as a high‑agency leader, shipping production‑ready code and mentoring a team to build elite AI‑native capabilities.

You will influence architectural decisions and champion scalable, secure solutions across the organization. The role emphasizes technical contribution, collaboration with ML, product, and people leaders, and driving practical, reusable solutions in a fast‑paced

Qualifications

• Bachelor’s degree required; 7+ years in software engineering.
• 7+ years designing distributed systems, backend architecture, and API platforms.
• 7+ years with public cloud technologies.
• Strong leadership and mentoring capabilities.
• Proven track record delivering scalable, high‑performant services.

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 non‑functional system characteristics: performance, scalability, operability.
• Continue learning and injecting advanced technical knowledge into the community.
• Handle several projects simultaneously to maximize impact.
• Mentor engineers and strengthen the technical expertise of the team.

Skills

Software engineering

Distributed systems design

Backend architecture

APIs and integration

Public cloud technologies

Team leadership

Education

Bachelor’s Degree

Master’s Degree in Computer Science or related field

Tools

Docker

Kubernetes

GraphQL

REST

API gateways

gRPC

Job description

Capital One is seeking a Staff Engineer to lead in cloud‑native, AI‑assisted software development. You will act as a high‑agency leader, shipping production‑ready code and mentoring a team to build elite AI‑native capabilities.

You will influence architectural decisions and champion scalable, secure solutions across the organization. The role emphasizes technical contribution, collaboration with ML, product, and people leaders, and driving practical, reusable solutions in a fast‑paced