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

Capital One • McLean, NY

3d • Hybrid

About The Position

As a Director, Full-Stack Engineer at Capital One, you will lead high-performing engineering teams that shape the future of cloud banking. You will partner with product managers, designers, architects, and executive leaders to deliver scalable, customer-centric solutions. This is a technical people-leadership role involving engineering strategy, complex architectural decisions, and the development of technology platforms aligned with business goals. You will build an inclusive culture of engineering excellence, mentor managers and engineers, support workforce strategy, recruit talent, and own your domain’s technical health, delivery velocity, and system resilience.

The Anti Money Laundering (AML) Technology Team provides solutions that enable the detection, investigation, and reporting of suspicious activities to FinCEN, a bureau of the U.S. Department of the Treasury. The team is transforming AML investigation technology with Agentic AI. The role will lead engineering teams working on this innovation while maintaining high standards for engineering and operational excellence.

This is a hybrid position. The employee is expected to follow Capital One’s hybrid policy regarding required on-site presence at their designated office location. 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 based on employment status and management level.

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 of 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, 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 strategically applying agentic AI coding tools to address systemic development challenges.

Responsibilities

• Lead, manage, and grow multiple teams of product-focused software engineers.
• Mentor and guide engineers’ professional and technical development.
• Work with product managers to understand application capabilities and testing scenarios.
• Continuously improve software engineering practices.
• Lead teams in designing, developing, testing, implementing, and supporting full-stack technical solutions across Agile teams.
• Guide the craftsmanship, availability, resilience, and scalability of solutions.
• Stay current with technology trends, experiment with new technologies, participate in technology communities, and mentor the engineering community.
• Encourage innovation, cutting-edge technology adoption, inclusion, teamwork, self-organization, and diverse perspectives.
• Improve the velocity of the employee’s teams and other teams.
• Lead deployment of new and existing applications into AWS environments.
• Guide the transformation of monolithic applications into microservice architectures and the development of 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, including succession planning, skill development, and equitable opportunity across engineering teams.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Director