Drimva

Capital One

Senior Director, Full-stack Engineer (Remote-Eligible) - Global Payment Network

$286K–$359K

McLean, VA +4 · Director · Full-time · Posted Oct 1, 2026

Location
McLean, VA
US Remote
Richmond, VA
Plano, TX
Riverwoods, IL
Experience
At least 7 years of people management experience; at least 9 years in software engineering and solution architecture, enterprise architecture and design patterns, cloud computing, and Data architecture. Preferred experience includes the stated alternatives of 12+ years in several areas.
Education
Bachelor's Degree or higher in Computer Science or a related quantitative field; Master's Degree in Computer Science or Software Engineering preferred.
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Leads engineering teams and technical strategy for scalable, resilient payment network platforms, including full-stack development and AWS deployments.

What you'll do

  • Lead, manage, mentor, and grow multiple software engineering teams and their talent strategy.
  • Set long-term technical strategy and architecture standards, aligning platform roadmaps with business leaders.
  • Guide delivery and operational health of full-stack solutions, including availability, resilience, scalability, and AWS deployment.

What they ask for

  • Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • At least 7 years of people management experience.
  • At least 9 years of experience in software engineering and solution architecture, enterprise architecture and design patterns, cloud computing, and Data architecture.

Nice to have

  • Master’s Degree in Computer Science or Software Engineering.
  • Expertise in the strategic application of agentic AI coding tools and demonstrated experience using AI-driven tools.

Pay

$286,200 - $326,700 USD base salary (Remote, Plano, Richmond, or Riverwoods); $314,800 - $359,300 USD base salary (McLean)

Tools

AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Python, Rust

AI focus

Apply automation and AI-native engineering to unlock real-time insights; use agentic AI coding tools and AI-driven tools to address development challenges.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)