Staff Engineer, Global Payments Cloud Architect

Capital One

New York (NY)

On-site

USD 294,000 - 335,000

Full time

8 days ago

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Job summary

Capital One is seeking a Staff Engineer to lead the Global Payments Network, shaping cloud-based systems for fast, reliable money movement across borders. You will partner with engineers, PMs and leaders to define architecture, set standards and drive global capabilities in a cloud-native, AI-enabled environment.

You will mentor teams, evangelize practical solutions, and steer non-functional requirements such as latency, reliability and operability while delivering impact across multiple

Qualifications

  • Bachelor’s degree required.
  • 7+ years of experience in general software.
  • 7+ years of experience 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, such as performance, scalability and operability.
  • Continue learning and injecting advanced technical knowledge into our community.
  • Handle several projects simultaneously, balancing your time to maximize impact.
  • Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community.

Skills

Java
Python
Go
JavaScript/TypeScript
Swift
Cloud technologies
AI tooling
System architecture

Education

Bachelor's Degree
Master's Degree in Computer Science or related field

Tools

Claude Code
Windsurf
Custom AI agents

Job description

Capital One is seeking a Staff Engineer to lead the Global Payments Network, shaping cloud-based systems for fast, reliable money movement across borders. You will partner with engineers, PMs and leaders to define architecture, set standards and drive global capabilities in a cloud-native, AI-enabled environment.

You will mentor teams, evangelize practical solutions, and steer non-functional requirements such as latency, reliability and operability while delivering impact across multiple

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