Senior Lead Software Engineer, Distributed Systems; Golang + 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 join a large group of makers, breakers, doers, and disruptors who solve real problems and meet real customer needs.

We are seeking Full Stack/Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be at the forefront of driving a major transformation within 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  Tech harnesses the power of generative AI to assist Capital One customers. Our mission is driven by a passionate, collaborative, and interdisciplinary team, acting as trusted partners to unleash the full power of machine learning and AI.

• 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, 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 like JavaScript, Java, HTML/CSS, Type Script, SQL, Python, and Go, Open Source RDBMS and No
  
  SQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

• Bachelor’s Degree
• At least 6 years of experience in software engineering (Internship experience does not apply)
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

• 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 Sage Maker, Databricks, or another comprehensive ML platform
• Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

• Cambridge, MA: $229,900 - $262,400 for Sr. Lead Software Engineer
• McLean, VA: $229,900 - $262,400 for Sr. Lead Software Engineer
• New York, NY: $250,800 - $286,200 for Sr. Lead Software Engineer
• San Francisco, CA: $250,800 - $286,200 for Sr. Lead Software Engineer
• San Jose, CA: $250,800 - $286,200 for Sr. Lead Software Engineer

This role is also eligible to earn performance‑based incentive compensation, which may include cash bonus(es) and/or long‑term incentives (LTI).

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.

Capital One is an equal‑opportunity employer (EOE, including disability/vet); it is committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Qualified applicants with a criminal history will be considered in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including in New York and San Francisco and other local laws.