# Full-Stack Engineer 4 (Python, Kubernetes) at Capital One

Capital One is hiring a Full-Stack Engineer 4 (Python, Kubernetes) in New York, United States. Level rates it Little AI ●○○○; you can [apply on Capital One](https://jobsbylevel.com/go/d680a6b0-16f2-45d1-9686-bf4f93d4a06b?utm_medium=ai-agent).

AI Level 1, AI centrality 30 out of 100. New York, NY.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 1 (score 30 out of 100)
- Location: New York, NY
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/d680a6b0-16f2-45d1-9686-bf4f93d4a06b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=full-stack-engineer-4-python-kubernetes-at-capital-one-5eb4bc

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/full-stack-engineer-4-python-kubernetes-at-capital-one-5eb4bc

## Description

Full-Stack Engineer 4 (Python, Kubernetes) 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 a Full-Stack Engineer 4 (Manager, IC) who is 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. The Machine Learning Experience Team (MLX Tech) is committed to pioneering and responsibly implementing AI/ML across Capital One. We achieve this by building platforms that enable the rapid and responsible development and deployment of AI/ML solutions at scale. MLX Tech harnesses the power of Generative AI to assist Capital one customers. Our mission is driven by our passionate, collaborative, and interdisciplinary team, being trusted partners to unleash the full power of machine learning and AI. 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 Python and Go, 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 5+ years of experience coding with Python or Go 4+ years of experience with AWS, GCP or Azure 3+ years of experience with Kubernetes 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, GitHub, Bitbucket) 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems 3+ years of experience troubleshooting technical issues within cloud environments 3+ years of experience with database and database management systems 1+ year of experience mentoring engineers and driving professional development within technical teams Experience leveraging modern AI-based coding tools and IDE copilots Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/full-stack-engineer-4-python-kubernetes-at-capital-one-5eb4bc

Source: https://jobsbylevel.com/jobs/full-stack-engineer-4-python-kubernetes-at-capital-one-5eb4bc

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Level. https://jobsbylevel.com/jobs/full-stack-engineer-4-python-kubernetes-at-capital-one-5eb4bc.

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