About the Position: As a Staff Engineer at Capital One, you will be a 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 driving towards strong technology solutions.

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 material 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: Card Intelligent Decisions & Experiences (CIDX) in Card Tech+ is responsible for the decisioning technology that guides our customers through their entire credit journey - from marketing, to product offers, real-time transaction approvals, and more. The Customer Resiliency team in Card Intelligent Decisions & Experiences (CIDX) is responsible for helping Capital One’s most vulnerable customers in times of financial difficulty. This team builds solutions and enablers that help our customers get back on their feet and reestablish themselves from their moments of difficulty.

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 In Computer Science or a related field
• At least 7 years of experience in:
  • 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
• Working knowledge of AI/ML concepts, with demonstrated experience applying AI tools to accelerate delivery, improve decision-making, or drive measurable efficiency gains.

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.

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.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.