Director, Full-stack Engineer

Director, Full-stack Engineer
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.
At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. 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.
As a Director of Full Stack Engineering in FS Tech, you will lead the vision and development of a core in-house application, equipping sales associates with real-time guidance during critical client calls. This is a high-impact, greenfield opportunity that demands creativity as you reimagine our user interface and engineer modern ways to surface actionable insights for front-line teams. To drive this next-generation platform, you will bring a strong grasp of AI tooling, data consumption patterns, and hands-on experience architecting and building AI-enabled products.
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
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
2+ years of hands-on experience designing, building, and deploying production-grade AI-enabled applications, including direct experience with Retrieval-Augmented Generation (RAG) models and data consumption patterns.
2+ years of experience architecting end-to-end full-stack applications that integrate AI services, generative AI tools, or modern data retrieval pipelines into live production environments.
Proven track record of taking AI-driven features from initial prototype to production scale, including integrating AI APIs, optimizing data consumption layers, and enabling real-time intelligent guidance systems.
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
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
Proven track record of taking AI-driven features from initial prototype to production scale, including integrating AI APIs, optimizing data consumption layers, and enabling real-time intelligent guidance systems.
3+ years of hands-on experience building and scaling full-stack applications leveraging generative AI, Large Language Models (LLMs), dynamic context retrieval (RAG), and event-driven data architectures.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.