Capital One · United States
About the company
Capital One is transforming the technology that drives AML investigations with Agentic AI. You will lead engineering teams at the forefront of this innovation with a high bar for engineering and operational excellence.
What you will 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
Nice to Have Skills
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
Web technologies (JavaScript, TypeScript and SPA frameworks)
Designing and building distributed HPC and ML 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, Google Cloud Platform, 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
Location & Compensation
This role is based in the United States and is eligible for hybrid work. Compensation varies by location: McLean, VA: $269,100 - $307,200; New York, NY: $293,600 - $335,100; Cambridge, MA: $269,100 - $307,200. Performance-based incentives may be offered.
Additional Information
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination. The role is expected to accept applications for a minimum of 5 business days. No agencies please.
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