Full-Stack Engineer 5 (Python, AWS, AI) (Cloud Operations Resilience Engineering)
$230k - $262k • McLean, VA • Full-time
Posted 15d ago
Job Location
McLean, VA
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
Capital One is seeking passionate Full-stack Software Engineers to join their Cloud Operations Resilience Engineering (CORE) division. This team is responsible for the foundational cloud infrastructure, focusing on observability, connectivity, resilience, and availability. You will be at the forefront of a major transformation, leveraging cutting-edge open-source frameworks and emerging AI-powered technologies to solve complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to drive technical leadership, design and implement large-scale distributed systems, and influence long-term technology strategy.
Responsibilities
- Provide technical leadership across multiple teams and complex projects, driving solutions in distributed microservices and full-stack systems.
- 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 (Docker, Kubernetes), and AWS 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 to reduce technical debt and enhance system performance.
- Share passion for staying on top of tech trends, experimenting with new technologies, and mentoring other engineers.
- Influence long-term technology strategy through evaluation of emerging tools and practices in a 'you build it, you own it' environment.
Requirements
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 6 years of experience in software engineering.
- At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies.
- 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.
- 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 (e.g., Claude Code, Codex, Cursor).
- Experience with AI-native engineering beyond basic code completion.
- Experience designing and implementing modern AI-powered solutions (e.g., OpenAI APIs, MCPs, Agent Protocols and Orchestration).
- 3+ years of experience mentoring senior engineers and driving professional development.
- 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards.
- 1+ year of experience establishing and enforcing coding standards and design patterns.
- Experience leading cross-functional engineering efforts or large-scale technical initiatives.
- Experience influencing technology strategy at the portfolio or business unit level.
Benefits
- Performance based incentive compensation (cash bonus(es) and/or long term incentives).
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.