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

Capital One · New York, NY · $269,100 - $307,200 · hybrid As a Director, Full-stack Engineer at Capital One, you will lead high-performing engineering teams working to define the future of banking in the cloud. You will partner closely with product managers, designers, architects and executive leaders to deliver scalable, customer-centric solutions. Our Directors are technical people leaders who drive engineering strategy, guide complex architectural decisions and translate business goals into impactful technology platforms. You will foster a culture of engineering excellence and inclusivity, balancing technical depth with empowered team leadership. You will lead the way in building next-generation talent for Capital One Tech,mentoring managers and engineers, driving workforce strategy and actively recruiting top-tier talent. Team Description The Anti Money Laundering (AML) Technology Team at Capital One is responsible for providing solutions that enable the detection, investigation and reporting of suspicious activities to FinCen, the Financial Crimes Enforcement network, a bureau of the United States Department of Treasury. We are transforming the technology that drives AML investigations with Agentic AI. What You’ll Do: Lead, manage and grow multiple teams of product-focused software engineers Mentor and guide the professional and technical development of engineers on your team 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 a full-stack development tools and technologies Lead the craftsmanship, availability, resilience, and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization and diversity Work across to improve the velocity of your and other teams Lead efforts to deploy new and existing applications into AWS environments Oversee and guide the technical implementation of breaking existing monolithic applications into microservice architectures and build 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, ensuring succession planning, skill development, and equitable opportunity across engineering teams Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 5 years of people management experience 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 Foundational knowledge in AI/ML Experience building and delivering Generative AI applications 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