Staff Full-stack Engineer - - B2B Platforms & Payment Systems (Remote-Eligible)

Capital One

McLean (VA)

On-site

USD 170,000 - 210,000

Full time

2 days ago
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Job summary

Capital One in McLean, VA seeks a Staff Engineer to lead technical directions across cloud-native banking platforms. You will mentor engineers, shape architecture, and deliver scalable systems.

You’ll drive modernization to microservices, collaborate with product and data teams, and evangelize best practices while advancing AI-enabled experiences for customers.

Qualifications

  • Bachelor’s degree or higher in Computer Science or related field.
  • 7+ years in software engineering and solution architecture; cloud experience.
  • Experience with data architecture and enterprise design patterns.

Responsibilities

  • Articulate and evangelize a bold technical vision for your domain.
  • Decompose complex problems into practical solutions.
  • Ensure the quality of technical design and implementation.
  • Lead modernization of monolithic systems into microservice architectures and event-driven platforms.
  • Collaborate with senior leaders to define long-term platform strategy.

Skills

Software engineering
Enterprise architecture
Cloud computing
Data architecture

Education

Bachelor's degree or higher in Computer Science or related field

Tools

AWS
Azure
GCP

Job description

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 Business Cards & Payments team's mission is to help businesses do more business. We are building a dynamic software ecosystem that helps small business owners reduce friction, save time, and create massive leverage across their operations.

We’re hiring a Staff Engineer to help shape our destination architecture and drive innovation across our core capabilities and experiences. Your mission will be to transform how small businesses manage spend and credit. You will make direct, hands-on contributions: defining our long‑term technical strategy, prototyping new capabilities, and scaling robust systems. By thoughtfully applying AI and agentic capabilities, you will help unlock the next frontier of intelligent customer experiences at every touchpoint.

Example areas you’ll take on include:
  • Transparent and flexible systems that manage employee and operational spend, empowering growing businesses to scale with confidence.
  • Next-generation underwriting and lending capabilities that provide seamless customer experiences and intelligently scale spend to support customer growth while managing credit risk.
  • Identifying and implementing high-value use cases for AI and agentic systems integrated thoughtfully across our core software ecosystem.
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
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
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