Full-stack Engineer 4 (Golang, Python, Java, AWS)

About the Team

Card Intelligent Decisions & Experiences (CIDX) in Card Tech+ is responsible for the decisioning technology that guides our customers through their entire credit journey - from marketing, to product offers, real-time transaction approvals, and more. Within this organization, the Decisioning Platform (DP) team is transforming decision-making at Capital One by developing a transparent, explainable framework for creating and executing complex credit decisions. This framework integrates orchestration, data fetching, and computation into single, unified execution to support a variety of decisions, such as credit card pre-approvals and credit line changes. Our platform leverages modern, cloud-native technologies—including serverless AWS infrastructure—to meet enterprise-scale needs. Within this ecosystem, our Decisioning Platform E2E Platform Horizontals squad is the engine behind the platform's reliability, focused on strengthening the foundational capabilities and driving architectural excellence. We lead key horizontal initiatives, including scalability, observability, E2E testing, multi-tenancy, and a self-service user interface to democratize platform accessibility.

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 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

Basic Qualifications

• 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

Preferred Qualifications

• Master’s Degree in Computer Science or a related field
• 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala
• 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