Full-Stack Engineer 4 (Python, Kubernetes)

Capital One • McLean, NY

8d

About The Position

Capital One is seeking a Full-Stack Engineer 4 (Manager, IC) for its Machine Learning Experience Team (MLX Tech), which builds platforms for the rapid and responsible development and deployment of AI/ML solutions at scale. The team uses Generative AI to assist Capital One customers and works collaboratively across disciplines to advance machine learning and AI.

The role leads a portfolio of technology projects and a team of developers building distributed microservices and full-stack systems. It provides technical direction across Agile teams, collaborates with digital product managers and architects, and delivers cloud-based solutions. The engineer uses Python and Go, databases, Docker, Kubernetes, and AWS services, while setting engineering standards and supporting operational excellence. The position also involves improving system performance, reducing technical debt, and influencing technology strategy in a “you build it, you own it” environment.

Requirements

• Bachelor’s degree or higher in Computer Science or a related quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
• At least 4 years of software engineering experience; internship experience does not apply.
• At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.

Nice To Haves

• Master’s degree in Computer Science or a related field.
• 5 or more years of coding experience with Python or Go.
• 4 or more years of experience with AWS, GCP, or Azure.
• 3 or more years of experience with Kubernetes.
• 3 or more years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
• 3 or more years of experience using Git-based version-control systems such as Git, GitHub, or Bitbucket.
• At least 1 year of experience using observability to identify and optimize performance bottlenecks in distributed systems.
• 3 or more years of experience troubleshooting technical issues in cloud environments.
• 3 or more years of experience with databases and database management systems.
• At least 1 year of experience mentoring engineers and supporting professional development within technical teams.
• Experience using modern AI-based coding tools and IDE copilots.
• Experience using interactive AI tooling beyond basic code completion to accelerate productivity.
• Experience leading cross-functional engineering efforts or large-scale technical initiatives.
• Experience establishing and enforcing coding standards and design patterns across teams.

Responsibilities

• Lead a portfolio of technology projects and a team of developers building distributed microservices and full-stack systems to address company regulatory needs.
• Keep up with technology trends, experiment with new technologies, participate in technology communities, and mentor members of the engineering community.
• Collaborate with digital product managers to deliver cloud-based solutions that support customer experiences.
• Use Python and Go, open-source relational and NoSQL databases, Docker, Kubernetes, and 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.
• Identify opportunities for improvement, implement targeted refactoring, and contribute to reducing technical debt and improving system performance.
• Evaluate emerging tools and practices to influence long-term technology strategy in a “you build it, you own it” environment.

Benefits

• Comprehensive, competitive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior