Cloud-Native Staff Engineer, Global Payments Network

Capital One

McLean (VA)

On-site

USD 269,000 - 307,000

Full time

24 hours ago
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Job summary

Capital One is seeking a Staff/Distinguished Engineer in McLean, VA to lead strategic technology efforts in the Global Payment Network. You will drive cloud-native modernization, design high‑performing distributed systems, and mentor engineers while adopting cutting-edge AI tooling to accelerate development.

Ideal candidates have extensive experience across software engineering, architecture, cloud technologies, and leadership.

Qualifications

  • Bachelor’s Degree is required.
  • 7+ years of general software experience.
  • 7+ years in software engineering and solution architecture.
  • 10+ years coding in Java, Python, Go, JavaScript/TypeScript, Swift.
  • 8+ years full lifecycle of system development.
  • 3+ years of cloud technologies.
  • Experience with interactive AI tooling to accelerate productivity.

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 time to maximize impact.
  • Mentor within the tech community to strengthen technical expertise.

Skills

Java
Python
Go
JavaScript/TypeScript
Swift
Public cloud
AI tooling

Education

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

Tools

Claude Code
Windsurf

Job description

Capital One is seeking a Staff/Distinguished Engineer in McLean, VA to lead strategic technology efforts in the Global Payment Network. You will drive cloud-native modernization, design high‑performing distributed systems, and mentor engineers while adopting cutting-edge AI tooling to accelerate development.

Ideal candidates have extensive experience across software engineering, architecture, cloud technologies, and leadership.

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