Full-stack Engineer 5 (GraphDB & API Platform) (Enterprise Platforms Technology)

Full-stack Engineer 5 (GraphDB & API Platform)At Capital One, you'll be part of a big group of makers, breakers, doers, and disruptors who love building and pioneering in the technology space, solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment to meet real customer needs.We are seeking a Full-stack Engineer 5 to provide technical leadership across foundational enterprise platforms and regulatory tech initiatives. In this role, you will lead the architecture, modernization, and evolution of large-scale, distributed customer data and relationship capabilities, while guiding teams of developers in building resilient cloud-native systems. You will work across current and future-state architectures within Enterprise Platforms Technology (EPTech)—designing scalable APIs, data contracts, and self-service platform services that empower millions of Americans to achieve financial empowerment.What You'll Do:Technical & Platform Leadership: Lead the architecture, end-to-end design, and implementation of highly available, resilient, and scalable cloud-native microservices, APIs, data contracts, and shared platform services.Modernization & Ecosystem Evolution: Provide technical vision for modernizing foundational customer data platforms while ensuring interoperability, continuity, and consistent interaction patterns across evolving database technologies and distributed systems.Strategy & Cross-Functional Alignment: Partner with digital product managers, database architects, and engineering leaders to define long-term technology directions, system architectures, and self-service capabilities that streamline regulatory compliance and developer onboarding.Operational Excellence & Automation: Drive automation, observability, and robust engineering practices to minimize manual processes, improve developer productivity, and ensure superior system reliability and performance.Modern Tech Stack Utilization: Leverage cutting-edge tools including Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Open Source RDBMS, NoSQL databases, Docker, Kubernetes, and AWS services.Mentorship & Community: Influence technical strategy across multiple engineering teams, mentor and grow technical talent, experiment with emerging tech trends, and actively contribute to internal and external engineering communities.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 technologiesPreferred QualificationsMaster's Degree in Computer Science or a related field.9+ years of software development experience coding in two or more of the following languages: Java, Python, Go, Scala, Node.js, JavaScript/TypeScript, Rust, or C#.5+ years of experience contributing to open-source frameworks.5+ years of experience with modern front-end JavaScript or TypeScript frameworks.5+ years of experience designing and building synchronous/asynchronous APIs and designing robust API platform architectures.5+ years of experience leveraging GraphDB platforms alongside 4+ years of hands-on experience with traditional database and database management systems (DBMS).4+ years of experience designing, architecting, and implementing distributed, cloud-native platforms at scale.4+ years of experience with major cloud platforms (AWS, GCP, Azure), cloud productivity tools, or virtualization technologies.4+ years of experience with serverless frameworks, container-based cloud architectures, and large-scale data-processing technologies.4+ years of experience with CI/CD pipelines, Infrastructure as Code (IaC), automated testing frameworks, and Git-based version control systems (e.g., Git, GitHub, Bitbucket).4+ years of experience troubleshooting technical issues in cloud environments, including 2+ years leveraging observability to identify and optimize performance bottlenecks in distributed systems, and 1+ year implementing observability and reliability practices at scale.3+ years of experience mentoring senior engineers and driving professional development within engineering teams.1+ year of experience leading architectural design reviews, influencing enterprise-wide technical standards, and establishing/enforcing coding standards and design patterns across teams.Direct experience leveraging modern AI-based coding tools, IDE copilots, and interactive AI tooling to accelerate productivity beyond basic code completion.Proven experience leading cross-functional engineering initiatives and influencing technology strategy at the portfolio or business unit level.