Staff Full-stack Engineer

Capital One•McLean, VA

About The Position

As a Staff Engineer at Capital One, you will join a community of technical experts defining the future of banking in the cloud. You will work with developers, machine learning experts, product managers, and people leaders to create practical, reusable solutions to complex problems and deliver strong technology solutions that improve business outcomes. You will promote engineering excellence and inclusive collaboration, mentor and develop engineers, and help recruit technical talent. Leading through technical contribution, you will serve as a trusted advisor for key technologies, platforms, and capability domains, sharing knowledge through clear communications, code samples, blog posts, and other materials. You will specialize in a subject area while contributing across the organization. The role includes setting technical direction, ensuring sound design and implementation, advising on non-functional system characteristics, and advancing platform modernization and strategy. You will balance hands-on engineering with mentoring, handle multiple projects, and lead cross-divisional efforts that improve technical practices. Capital One is open to hiring a remote or hybrid employee. Hybrid employees must follow the company's on-site presence policy for their designated office; remote employees must follow its Remote Worker Expectations. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One also offers health, financial, and other benefits; eligibility varies by employment status and management level. Capital One may consider sponsoring a qualified new applicant for employment authorization.

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 7 years of experience in software engineering and solution architecture.
At least 7 years of experience in enterprise architecture and design patterns.
At least 7 years of experience in cloud computing (AWS, Microsoft Azure, or Google Cloud).
At least 7 years of experience in data architecture.

Nice To Haves

Master's degree in Computer Science or Software Engineering.
10+ years of experience in software engineering and solution architecture.
10+ years of experience in enterprise architecture and design patterns.
10+ years of experience with web technologies, including JavaScript, TypeScript, and SPA frameworks.
10+ years of experience designing and building distributed HPC and machine learning systems.
10+ years of experience in cloud computing (AWS, Microsoft Azure, or Google Cloud).
10+ years of experience in data architecture.
10+ years of professional coding experience in commonly used languages such as Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.
8+ years of experience with databases and database management systems.
10+ years of professional experience across the full system development lifecycle, 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.

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.
Serve as an authoritative expert on non-functional system characteristics, including performance, scalability, and operability.
Continue learning and share advanced technical knowledge with the engineering community.
Manage 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 communities.
Modernize 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.
Balance hands-on technical contribution and innovation with mentoring and developing peers and junior engineers.
Lead cross-divisional projects that promote technological best practices and enhancements.
Share knowledge through clear communications, code samples, blog posts, and other materials.
Help recruit and develop technical talent.

Benefits

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
Comprehensive health, financial, and other benefits supporting total well-being; eligibility varies by employment status and management level.

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