Full-stack Engineer 5 (Java, Spring, Kafka, CI/CD, AI tools, Glue, RDS, DynamoDB) (Enterprise Platforms Technology )

We are seeking a highly skilled and visionary Full-Stack Engineer 5 who is passionate about Artificial Intelligence, Machine Learning, full-stack systems, and leveraging cutting-edge open-source frameworks.

As a Capital One Manager-level IC, you’ll be on the forefront of driving a major transformation across the enterprise.

Marketing and Messaging operates as a key line of business supported by Enterprise Platforms Technology (EPTech), driving hyper-personalized consumer experiences through EPTech's enterprise scale, governance, and architectural practices

What You’ll Do

• Lead & Execute: Lead a portfolio of diverse technology projects and direct a team of developers with deep experience in distributed microservices and full-stack systems.
• Architect & Scale: Drive end-to-end design and implementation of large-scale, cloud-native systems with high reliability, performance, and data design requirements. Partner with architects and product leaders to shape long-term system architecture, platform roadmaps, and shared services strategies.
• Innovate with AI/ML: Direct the design, development, testing, and implementation of intelligent technical solutions using emerging AI technologies, Large Language Models (LLMs), and cloud infrastructure to power hyper-personalized user experiences.
• Collaborate & Empower: Partner closely with digital product managers to build robust, cloud-based solutions that drive high-impact experiences, helping millions of Americans achieve financial empowerment.
• Tech Stack Mastery: Leverage a diverse technical stack including Java, JavaScript, TypeScript, Python, Go, Scala, and Node.js, combined with Open Source RDBMS, NoSQL databases, container orchestration (Docker, Kubernetes), and modern AWS cloud ecosystems.
• Champion Engineering Culture: Mentor members of the engineering community, conduct rigorous code reviews to maintain technical excellence, participate in tech communities, and champion modern engineering practices across multiple 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 6 years of experience in software engineering (Internship experience does not apply)
• At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies

Preferred Qualifications:

• 9+ years of experience coding with two or more of the following: Go, Java, JavaScript, TypeScript, Python, Rust, C#, Scala, or SQL
• 7+ years of experience in at least one of the following: Java, JavaScript, Python, Go, TypeScript, or SQL
• 5+ years of experience contributing to open-source frameworks
• 5+ years of experience with front-end JavaScript or TypeScript frameworks
• 5+ years of experience creating synchronous and asynchronous APIs
• 4+ years of experience leading technical direction and executing large-scale, cross-functional projects across multiple engineering teams
• 4+ years of experience with AWS, GCP, Azure, cloud-based productivity tools, or virtualization technologies
• 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
• 4+ years of experience with database and database management systems
• 4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
• 4+ years of experience troubleshooting technical issues within cloud environments
• 3+ years of experience with AWS, GCP, Azure, or another cloud service
• 3+ years of experience mentoring senior engineers and driving professional development within technical teams
• 2+ years of experience in Agile practices
• 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
• 1+ year of experience working with big data ETL using Dataflow, AWS Glue, or Databricks
• 1+ year of experience utilizing Generative AI coding tools, IDE copilots, and advanced LLM capabilities (such as Claude Code) to enhance engineering productivity
• 1+ year of experience in prompt engineering or developing features enhanced by Artificial Intelligence
• 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies
• 1+ year of experience establishing and enforcing coding standards and design patterns across teams
• 1+ year of experience implementing observability and reliability practices at scale

Salary Information:

• McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5
• New York, NY: $250,800 - $286,200 for Full-stack Engineer 5
• Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5