The role
From Capital One's own posting.
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 - $279,200 for Staff Full-stack Engineer
Richmond, VA: $244,700 - $279,200 for Staff Full-stack Engineer
Riverwoods, IL: $244,700 - $279,200 for Staff Full-stack Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportu