Director, Full-Stack Engineer - AML (Anti Money Laundering)

Capital One•McLean, VA
•$293,600 - $335,100•Hybrid

About The Position

As a Director, Full-Stack Engineer at Capital One, you will lead high-performing engineering teams defining the future of banking in the cloud. You will partner with product managers, designers, architects, and executive leaders to deliver scalable, customer-centric solutions. This technical people-leader role drives engineering strategy, guides complex architectural decisions, and translates business goals into technology platforms. You will foster engineering excellence and inclusion while balancing technical depth with team leadership. The role includes mentoring managers and engineers, shaping workforce strategy, recruiting talent, and owning the technical health, delivery velocity, and resilience of your domain. You will guide long-term technology strategy and platform roadmaps and encourage continuous learning, innovation, and high-impact delivery. The Anti Money Laundering (AML) Technology Team provides solutions for detecting, investigating, and reporting suspicious activities to FinCEN, a bureau of the U.S. Department of the Treasury. The team is transforming AML investigations technology with Agentic AI. This is a hybrid position requiring compliance with Capital One's hybrid policy and on-site presence at the designated office location.

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 5 years of people management experience.
  • 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, including 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.
  • Foundational knowledge in AI/ML.
  • Experience building and delivering Generative AI applications.
  • 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 ML systems.
  • 10+ years of experience in cloud computing, including 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.
  • 7+ 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

  • Lead, manage, and grow multiple teams of product-focused software engineers.
  • Mentor engineers and guide their professional and technical development.
  • Work with product managers to understand desired application capabilities and testing scenarios.
  • Continuously improve software engineering practices.
  • Work within and across Agile teams to design, develop, test, implement, and support technical solutions across full-stack tools and technologies.
  • Lead the craftsmanship, availability, resilience, and scalability of solutions.
  • Stay current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor members of the engineering community.
  • Encourage innovation, adoption of cutting-edge technologies, inclusion, creative thinking, teamwork, self-organization, and diversity.
  • Improve delivery velocity across the team and with other teams.
  • Lead deployment of new and existing applications into AWS environments.
  • Guide the technical implementation of breaking monolithic applications into microservice architectures and building new microservices.
  • Shape long-term technical strategy and architecture standards for enterprise platforms.
  • Partner with senior engineering and business leaders to align product roadmaps with scalable technology capabilities.
  • Drive talent strategy, succession planning, skill development, and equitable opportunity across engineering teams.

Benefits

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