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

Posted Date 10/21/2026

Description Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)

As a Senior Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Senior Staff Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while delivering strong technology solutions.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep building our community.

Senior Staff Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other materials to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.

About the Team: The Global Payment Network (GPN) Technology organization designs, builds, and operates the mission-critical systems and infrastructure that seamlessly power complex money movement across domestic and international rails. We build and operate a high-volume, low-latency, and highly resilient distributed ecosystem that is simultaneously secure, performant, accurate, and nimble.

As an engineer in the Global Payment Network, you will apply your technical acumen to shape and deliver solutions to complex problems at massive scale. You will engineer solutions across core network products, simplify global participant integration, and rapidly deliver new features. Leveraging automation and AI-native engineering, you will unlock real-time insights and advance our capabilities in domains ranging from high-throughput transaction processing to advanced fraud and risk mitigation.

What You’ll Do:

• 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
• Drive modernization of monolithic systems into microservice architectures and event-driven platforms
• Collaborate with senior engineering and architecture leaders to define long-term platform strategy and API standards
• Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers.
• Lead cross-divisional projects and impacts that promote technological best practices and enhancements

Capital One is open to hiring a Remote Employee for this opportunity.

Basic Qualifications:

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 9 years of experience in all of the following:
  • Software engineering and solution architecture
  • Enterprise architecture and design patterns
  • Cloud computing (AWS, Microsoft Azure, Google Cloud)
  • Data architecture

Preferred Qualifications:

• Master’s Degree in Computer Science or Software Engineering
• 12+ years of experience in all of the following:
  • Software engineering and solution architecture
  • Enterprise architecture and design patt…