Full-Stack Engineer 5 (Python, AWS, AI) (Cloud Operations Resilience Engineering)
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 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.
What You’ll Do:
Provide technical leadership across multiple teams and complex projects, driving solutions in distributed microservices and full-stack systems to meet regulatory needs
Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements
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
Partner with architects and product leaders to define platform roadmaps, shared services strategy, service boundaries, and integration patterns
Establish engineering standards for design, development, architecture, and operational excellence across 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
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 Python or Go
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 AWS and public cloud platforms
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 (e.g., Git, GitHub, Bitbucket)
4+ years of experience troubleshooting technical issues within cloud environments
2+ years of experience leveraging observability and reliability practices at scale to optimize distributed systems
Experience leveraging modern AI-based coding tools (Claude Code, Codex, Cursor)
Experience with AI-native engineering beyond basic code completion (context and harness engineering)
Experience designing and implementing modern AI-powered solutions (OpenAI APIs, MCPs, Agent Protocols and Orchestration)
3+ years of experience mentoring senior engineers and driving professional development within technical teams
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
Experience leading…