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Capital One Logo Capital One · IT - Software Development

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

United States, San Francisco Employment contract 229900.00 - 286200.00 USD / Year · Job Posted May 15, 2026
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Job Description

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 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 on 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 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.

Job Responsibility

  • 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, 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)

Nice to have

  • 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

What we offer

  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits
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