Full-stack Engineer 4 (Cloud Native, Microservices & AWS) ( Enterprise Platforms Technology)

We are seeking a Full-stack Engineer 4 who is passionate about leveraging cutting-edge open source frameworks and emerging technologies.

In this role, you'll be at the forefront of driving a major transformation across Capital One.

What You'll Do:

• Lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full-stack systems, driving solutions to meet regulatory and business needs.
• Build and enhance internal tools, platforms, and AI-powered workflows,including Claude Code integrations and skills marketplaces,that reduce friction and accelerate software delivery across the organization.
• Invest in developer tooling to directly improve engineering productivity, code quality, and overall developer experience at scale.
• Collaborate with digital product managers to deliver robust, scalable AWS cloud solutions that empower millions of Americans to achieve financial well-being.
• Utilize programming languages (Java, Scala, Python, Go, Node.js, JavaScript, TypeScript), Open Source RDBMS and NoSQL databases, container orchestration tools (Docker, Kubernetes), and modern AWS infrastructure.
• Provide technical leadership across Agile teams by setting high standards for system design, software development, operational excellence, and a "you build it, you own it" ownership culture.
• Partner with enterprise architects to define service boundaries, integration patterns, and reusable frameworks, while influencing long-term technology strategy by evaluating emerging tools.
• Proactively identify areas for improvement, implementing targeted refactoring to eliminate technical debt and optimize system performance.
• Stay on top of emerging technology trends, experiment with new technologies, participate in internal and external tech communities, and mentor engineering peers.

Basic Qualifications:

• Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 4 years of experience in software engineering (Internship experience does not apply)
• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies

Preferred Qualifications:

• Master's Degree in Computer Science or a related field
• 7+ years of experience coding with more than two of the following: Python, TypeScript, or JavaScript
• 3+ years of experience with database and database management systems
• 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
• 4+ years of experience contributing to open source frameworks
• 3+ years of experience with front-end JavaScript or TypeScript frameworks
• 4+ years of experience creating synchronous and asynchronous APIs
• 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
• 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
• 3+ years of experience troubleshooting technical issues within cloud environments
• Experience leveraging modern AI-based coding tools and IDE copilots
• 1+ year of experience mentoring engineers and driving professional development within technical teams
• 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
• Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion
• Experience leading cross-functional engineering efforts or large-scale technical initiatives
• Experience establishing and enforcing coding standards and design patterns across teams

The minimum and maximum full-time annual salaries for this role are: McLean, VA: $197,300 - $225,100 Plano, TX: $179,400 - $204,700