Full-stack Engineer 5 (AI Platform & Knowledge Library) (Enterprise Platforms Technology)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are 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 with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
- 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 (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:
- 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