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

Capital One • McLean, VA

1d • Remote

About The Position

As a Senior Staff Engineer at Capital One, you will be a technical expert helping define the future of banking in the cloud. You will devise practical, reusable solutions to complex problems, drive innovation and business outcomes, promote engineering excellence, mentor engineers, and share expertise across the organization. The role calls for substantial hands-on technical contribution alongside mentoring, technical leadership, and collaboration across organizational boundaries.

The Global Payment Network (GPN) Technology organization designs, builds, and operates mission-critical systems and infrastructure for domestic and international money movement. Its distributed ecosystem is high-volume, low-latency, resilient, secure, performant, accurate, and nimble. Engineers in GPN shape solutions to complex problems at massive scale, build core network products, simplify participant integration, and deliver new features. The team uses automation and AI-native engineering to develop real-time insights and capabilities in transaction processing, fraud mitigation, and risk mitigation.

This position may be performed remotely. It is responsible for technical vision and design quality, modernization of monolithic systems into microservices and event-driven platforms, and collaboration on long-term platform strategy and API standards. The engineer will lead cross-divisional work, advise on system characteristics such as performance, scalability, and operability, and serve as a role model, mentor, and technical resource for engineering and product colleagues.

The minimum and maximum full-time annual salaries are $286,200–$326,700 for remote work, regardless of location, and $314,800–$359,300 in McLean, Virginia. The role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers a comprehensive benefits package; eligibility varies based on employment status and management level.

Requirements

• Bachelor’s degree or higher in Computer Science or a related quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
• At least 9 years of experience in software engineering and solution architecture.
• At least 9 years of experience in enterprise architecture and design patterns.
• At least 9 years of experience in cloud computing with AWS, Microsoft Azure, or Google Cloud.
• At least 9 years of experience in data architecture.

Nice To Haves

• Master’s degree in Computer Science or Software Engineering.
• 12+ years of experience in software engineering and solution architecture.
• 12+ years of experience in enterprise architecture and design patterns.
• 12+ years of experience with web technologies, including JavaScript, TypeScript, and SPA frameworks.
• 12+ years of experience designing and building distributed HPC and ML systems.
• 12+ years of experience in cloud computing with AWS, Microsoft Azure, or Google Cloud.
• 12+ years of experience in data architecture.
• 12+ years of professional coding experience in commonly used languages such as Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.
• 10+ years of experience with databases and database management systems.
• 12+ years of professional experience across the full system development lifecycle, from conception through architecture, implementation, testing, deployment, and production support.
• 10+ years of experience with cloud-based productivity tools or virtualization technologies.
• 12+ years of experience with networking protocols and integration with third-party distributed systems.
• 7+ years of experience mentoring senior engineers and driving professional development within technical teams.
• 3+ years of experience leading cross-domain architectural reviews or establishing coding and design standards.
• Expertise in strategically applying agentic AI coding tools to solve systemic development challenges.

Responsibilities

• Articulate and evangelize a bold technical vision for the domain.
• Decompose complex problems into practical, operational solutions.
• Ensure the quality of technical design and implementation.
• Advise as an authoritative expert on non-functional system characteristics, including performance, scalability, and operability.
• Continue learning and bring advanced technical knowledge to the engineering community.
• Handle several projects simultaneously and balance time to maximize impact.
• Act as a role model and mentor, coaching and strengthening the technical expertise of engineering and product colleagues.
• 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.
• Provide hands-on technical contributions and innovation while mentoring peers and junior engineers.
• Lead cross-divisional projects and promote technological best practices and enhancements.
• Create clear communications, code samples, blog posts, and other materials to share technical knowledge inside and outside the organization.
• Help recruit and develop engineering talent.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Eligibility for performance-based incentive compensation, potentially including cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior