Senior Lead Software Engineer, Distributed Systems (Golang + Python on Kubernetes)

About the role

Join us as a Full Stack/Back End Software Engineer where you'll be part of a dynamic team dedicated to driving innovation and solving complex business problems. We're looking for individuals passionate about merging data with emerging technologies to join our Machine Learning Experience Team (MLX Tech).

Responsibilities

• Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems.
• 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, and from time to time, be asked to code or evaluate code.
• 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 such as JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.

Requirements

• Bachelor’s Degree
• At least 6 years of experience in software engineering
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications

• Master’s Degree
• 9+ years of experience in at least one of the following: Python, Golang, or Node.js
• 4+ years of experience with AWS, GCP, Azure, or another cloud service
• 4+ years of experience in open source frameworks
• 2+ years of experience in Kubernetes: hands-on deploying and managing large-scale apps on Kubernetes
• 1+ years of people management experience
• 2+ years of experience with Amazon SageMaker, Databricks, or another comprehensive ML platform
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Learn more at the Capital One Careers website.

Pay

Salaries for this role vary by location and can be found in the job description above.

Schedule

This role is full-time.