Full-stack Engineer ; Java, Python, Docker, AI); Enterprise Platforms Technology

Full-stack Engineer 4 (Java, Python, Docker, AI) (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. EPTech’s Developer Experience team focuses on delivering a fully integrated developer tool ecosystem that is intuitive, easy to use, provides a guided experience and keeps developers in a state of flow.

• 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 Type Script, Open Source RDBMS and No
  
  SQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
• Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence
• Partner with architects to define service boundaries, integration patterns, and reusable frameworks
• Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
• Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment

• 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

• Master’s Degree in Computer Science or a related field
• 7+ years of experience coding with Java or Python
• 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 Type Script 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, Git Hub, 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…