Description
We are seeking a Full-Stack Software Engineer who is passionate about leveraging cutting-edge open source frameworks and emerging AI-powered technologies. In this role, you'll be at the forefront of driving a major transformation across Capital One.
The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.
Responsibilities:
- Provide technical leadership across diverse projects and cross-functional teams, driving solutions in distributed microservices and full-stack systems to meet regulatory needs
- Utilize programming languages like Python, Go, Node.js, JavaScript and TypeScript, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks
- Establish engineering standards for design, development, and operational excellence across Agile teams
- Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance
- 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
- Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Requirements:
- 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