Staff Engineer, Global Payment Network (Cloud-Native)

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

Benefits offered by this job

Health benefits

Competitive compensation

Job summary

Capital One is seeking a Staff Engineer to join the Global Payment Network Technology organization in Illinois. You will lead technical strategy, decompose complex problems into practical solutions, and guide design quality, while mentoring engineers and driving cloud-native innovations.

The role emphasizes performance, scalability, and collaboration across engineering, product, and leadership teams. You will work with senior engineers to advance AI tooling adoption, deliver resilient systems,

Qualifications

• Bachelor’s Degree required; 7+ years in general software.
• 7+ years in software engineering and solution architecture.

Responsibilities

• Articulate and evangelize a bold technical vision for your domain.
• Decompose complex problems into practical and operational solutions.
• Ensure the quality of technical design and implementation.
• Serve as an authoritative expert on non-functional system characteristics (performance, scalability).
• Continue learning and injecting advanced technical knowledge into the community.
• Balance multiple projects to maximize impact.
• Mentor engineers and contribute to the broader tech community.

Skills

Java

Python

Go

JavaScript/TypeScript

Swift

Cloud technologies

Networking

Education

Bachelor's Degree

Bachelor's or Master's in CS or related field

Tools

AWS

Azure

GCP

Public/Private Cloud

Job description

Capital One is seeking a Staff Engineer to join the Global Payment Network Technology organization in Illinois. You will lead technical strategy, decompose complex problems into practical solutions, and guide design quality, while mentoring engineers and driving cloud-native innovations.

The role emphasizes performance, scalability, and collaboration across engineering, product, and leadership teams. You will work with senior engineers to advance AI tooling adoption, deliver resilient systems,