Sr. Distinguished Engineer - Global Payment Network (remote Eligible)

Capital One Capital One · Banking · McLean, VA +3 · Remote

Sr. Distinguished Engineer focused on the Global Payment Network, leveraging modern AI tools and AI-native engineering to deliver technical solutions, optimize business outcomes, and drive innovation in a high-volume, low-latency, and highly resilient distributed ecosystem. The role involves articulating technical vision, proposing solutions, partnering with leaders, accelerating agentic AI adoption, elevating technical design, and serving as an authoritative expert on system characteristics.

What you'd actually do

  1. Articulate and evangelize a bold technical vision across multiple domains and mission critical platforms, across engineering teams, product managers, and executive leadership
  2. Proactively propose solutions to complex problems into practical and operational solutions that deliver functional requirements with high performance and reliability
  3. Partner with executive leaders across business, product, and technology functions to set the direction for strategic investment and high-leverage technical decisions
  4. Accelerate use of agentic AI to accelerate the delivery of modernized systems that power the future of our payment network, by deploying reusable patterns to scale AI across our engineering teams and high priority investments
  5. Elevate quality of technical design and implementation across the engineering organization, proactively identifying and removing technical debt from systems and friction from customer customer experiences

Skills

Required

  • Bachelor's Degree
  • At least 9 years of experience in software engineering
  • At least 7 years of experience designing distributed systems
  • At least 7 years of experience with public cloud technologies

Nice to have

  • Bachelor's or Master's Degree in Computer Science or a related field.
  • 12+ years of experience in Software Engineering and Systems Design
  • 10+ years of professional experience coding in commonly used languages (e.g. Java, Python, Go, JavaScript/TypeScript, Swift, etc.)
  • 10+ years of professional experience in the full lifecycle of system development, from conception through design, implementation, testing, deployment and production operation
  • 7+ years of experience with systems meeting high performance and resiliency requirements
  • 8+ years of experience with public or private cloud technologies
  • Experience with payments, money movement, and related standards (e.g. PCI-DSS)
  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

What the JD emphasized

  • modern AI tools
  • agentic AI
  • AI-powered engineering
  • payments, money movement, and related standards (e.g. PCI-DSS)

Other signals

  • Leveraging automation and AI-native engineering
  • Accelerate use of agentic AI to accelerate the delivery of modernized systems
  • leading organizational adoption of AI-powered engineering