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

As a 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 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.

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 7 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

+ 10+ years of experience in all of the following:

+ Software engineering and solution architecture

+ Enterprise architecture and design patterns

+ Web technologies (JavaScript, TypeScript and SPA frameworks)

+ Designing and building distributed HPC and ML systems

+ Cloud computing (AWS, Microsoft Azure, Google Cloud)

+ Data architecture

+ 10+ years of professional experience coding in commonly used languages like Go, Java, JavaScript/Typescript, Python, Rust, C#, Scala

+ 8+ years of experience with database and database management systems

+ 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support

+ 8+ years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies

+ 10+ years of experience with Networking protocols and integration with third party distributed systems

+ 5+ years of experience mentoring senior engineers and driving professional development within technical teams

+ 2+ years of experience leading cross-domain architectural reviews and establishing coding and design standards

+ Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges

+ Demonstrated experience as an active technical practitioner using AI-driven tools, frameworks, or modern software development practices

+ Experience working within the fintech industry, specifically in payment processing, merchant services, or digital payment architectures

+ Demonstrated ability to build and ship enterprise software iteratively, enterprise-scale data migrations and platform transformations in FinTech or large-scale enterprise organizations

+ Experience architecting, testing, and operating real-time, distributed data systems and high-volume pipelines

+ Strong ownership mindset with a destination-backwards approach to navigating ambiguity

+ Strategic thought partner and effective challenger across Product, Design, Risk, and Enterprise Tech leadership

_Capital One will consider sponsoring a new qualified applicant for employment authorization for this position._

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $244,700 - $279,200 for Staff Full-stack Engineer

McLean, VA: $269,100 - $307,200 for Staff Full-stack Engineer

Plano, TX: $244,700 - $279,...

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

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