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About the Role

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. Directors are expected to lead through technical vision, operational rigor and strategic alignment. You will serve as a key owner for your domain's technical health, delivery velocity and system resilience. While shaping long-term technology strategy and platform roadmaps, you will inspire a culture of continuous learning, innovation and high-impact delivery across your organization. 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. We are transforming the technology that drives AML investigations with Agentic AI.

Responsibilities

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

Requirements

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 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, Google Cloud)
At least 7 years of experience in data architecture
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 in web technologies (JavaScript, TypeScript and SPA frameworks)
10+ years of experience designing and building distributed HPC and ML systems
10+ years of experience in cloud computing (AWS, Microsoft Azure, Google Cloud)
10+ years of experience in 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
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

Skills

Software engineering
Solution architecture
Enterprise architecture
Design patterns
Cloud computing
Data architecture
AI/ML
Generative AI
Web technologies
JavaScript
TypeScript
SPA frameworks
HPC systems
ML systems
Go
Java
Python
Rust
C#
Scala
Database management systems
System development lifecycle
Public cloud platforms
AWS
GCP
Azure
Cloud-based productivity tools
Virtualization technologies
Agentic AI coding tools

Location

Cambridge, MA
McLean, VA
New York, NY

Work Type

Hybrid

Experience Level

Director
5 years of people management experience
7 years of experience in software engineering and solution architecture
7 years of experience in enterprise architecture and design patterns
7 years of experience in cloud computing
7 years of experience in data architecture
10+ years of experience in software engineering and solution architecture
10+ years of experience in enterprise architecture and design patterns
10+ years of experience in web technologies
10+ years of experience designing and building distributed HPC and ML systems
10+ years of experience in cloud computing
10+ years of experience in data architecture
10+ years of professional experience coding
8+ years of experience with database and database management systems
10+ years of professional experience in the full lifecycle of system development
8+ years of experience with public cloud platforms
7+ years of experience mentoring senior engineers
2+ years of experience leading cross-domain architectural reviews

Education Level

Bachelor's Degree in Computer Science or a related quantitative field
Master’s Degree in Computer Science or Software Engineering

Salary/Compensations

Cambridge, MA: $269,100 - $307,200
McLean, VA: $269,100 - $307,200
New York, NY: $293,600 - $335,100

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

About the Company

Capital One believes diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries.
Capital One Financial is made up of several different entities.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.