Full-stack Engineer 5

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

The Enterprise GraphQL team is the runtime backbone of Capital One's enterprise federated GraphQL platform, a unified API layer that consolidates access to the organization's data graph.

What You'll Do:

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
• Own and evolve the Apollo Enterprise Router, Capital One's federated GraphQL runtime written in Rust, covering query execution, query planning, query controls, rate limiting, and Persisted Query enforcement
• Drive the supergraph schema lifecycle: automated deployment, composition validation, hot reload, rollback, and subgraph integration for both non-prod and production environments
• Architect, build, and maintain GQL Router plugins using Rust native plugins, Rhai scripting, and external coprocessors to extend router capabilities for Capital One's specific governance and security needs
• Lead SRE and operational excellence for the federated platform, including monitoring, alerting, off-hours escalations, vulnerability remediation, and vendor product maintenance for all Enterprise GraphQL-owned components
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
• Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction
• Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
• Partner with architects and product leaders to define platform roadmaps and shared services strategy

Basic Qualifications:

• Bachelor's Degree or higher in Computer Science or a related quantitative field
• At least 6 years of experience in software engineering
• At least 3 years of experience with public cloud platforms

Preferred Qualifications:

• Master's Degree in Computer Science or a related field
• 9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
• 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 with database and database management systems
• 4+ years of experience with AWS, GCP, Azure, or 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 using Git-based version-control systems
• 4+ years of experience troubleshooting technical issues within cloud environments
• 3+ years of experience building or operating federated GraphQL platforms
• 2+ years of experience developing with Rust
• 3+ years of experience mentoring senior engineers and driving professional development within technical teams
• 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
• 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
• Experience leveraging modern AI-based coding tools and IDE copilots
• Experience influencing technology strategy at the portfolio or business unit level
• Experience with interactive AI tooling to accelerate productivity
• Experience leading cross-functional engineering efforts or large-scale technical initiatives