Director, Full-Stack Engineer – AML, Anti Money Laundering

Capital One

. Lead, manage, and grow multiple teams of product-focused software engineers .

Posted 11/6/2026full-timeUnited StatesLead💰 $269,100 - $335,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading and mentoring software engineering teams while driving innovation and adopting cutting-edge technologies. Proficient in full-stack development, cloud computing, and strategic architecture design to enhance application capabilities and team performance.

Highest-signal resume keywords

People Management ExperienceSoftware Engineering and Solution ArchitectureCloud Computing (AWS, Microsoft Azure, Google Cloud)Full System Development LifecycleMentoring Senior Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringSolution ArchitectureEnterprise ArchitectureCloud ComputingData ArchitectureProfessional Coding (Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala)Database Management SystemsMicroservice ArchitectureAgile MethodologiesAI/ML Knowledge

Soft Skills

MentoringTeam LeadershipInnovation EncouragementCollaborationDiversity Advocacy

Tools & Technologies

AWSMicrosoft AzureGoogle CloudCloud-Based Productivity ToolsVirtualization Technologies

Certifications & Qualifications

Bachelor's Degree in Computer Science or Related FieldMaster's Degree in Computer Science or Software Engineering (Preferred)

Industry Keywords

Full-Stack DevelopmentApplication DeploymentMicroservicesCoding StandardsTechnical Strategy

Tech Stack

Tools & technologies

AWSAzureCloudJavaJavaScriptMicroservicesPythonRustScalaTypeScriptGo

About the role

Key responsibilities & impact

Lead, manage, and grow multiple teams of product-focused software engineers
Mentor and guide engineers' professional and technical development
Partner with product managers to understand application capabilities and testing scenarios
Continuously improve software engineering practices
Design, develop, test, implement, and support full-stack technical solutions across Agile teams
Lead the craftsmanship, availability, resilience, and scalability of solutions
Stay current with technology trends, experiment with new technologies, and participate in technology communities
Encourage innovation, cutting-edge technology adoption, inclusion, teamwork, self-organization, and diversity
Improve the velocity of the team's and other teams' work
Lead deployment of applications into AWS environments
Guide migration of monolithic applications to microservice architectures and build new microservices
Shape long-term technical strategy and enterprise platform architecture standards
Align product roadmaps with scalable technology capabilities alongside senior engineering and business leaders
Drive talent strategy, succession planning, skill development, and equitable opportunity across engineering teams

Requirements

What you’ll need

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, enterprise architecture and design patterns, cloud computing (AWS, Microsoft Azure, Google Cloud), and data architecture
Preferred: Master's Degree in Computer Science or Software Engineering
Preferred: Foundational knowledge in AI/ML
Preferred: Experience building and delivering Generative AI applications
Preferred: 10+ years of experience in software engineering and solution architecture, enterprise architecture and design patterns, web technologies, distributed HPC and ML systems, cloud computing, and data architecture
Preferred: 10+ years of professional coding experience in Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala
Preferred: 8+ years of experience with databases and database management systems
Preferred: 10+ years of professional experience across the full system development lifecycle
Preferred: 8+ years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies
Preferred: 7+ years mentoring senior engineers and driving professional development
Preferred: 2+ years leading cross-domain architectural reviews and establishing coding and design standards
Preferred: Expertise in strategic application of agentic AI coding tools
Capital One will consider sponsoring a new qualified applicant for employment authorization

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Employment authorization sponsorship may be considered for a new qualified applicant
Reasonable accommodations for applicants requiring them