Senior Lead Software Engineer, Back-End - Capital One

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 love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Sr. Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One — building the foundational ML platform infrastructure that empowers data scientists and machine learning engineers to develop, deploy, and scale models that directly impact our customers.

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, 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 Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:

Bachelor’s Degree

At least 6 years of professional software engineering experience (Internship experience does not apply)

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: Java, Scala, Python, Go, or Node.js

3+ years of experience with AWS, GCP, Azure, or another cloud service

5+ years of MLOps or ML platform engineering experience, with a track record of building and scaling end-to-end ML pipelines, infrastructure-as-code for model lifecycle management, and cross-functional collaboration with data science and platform teams.

4+ years of experience in open source frameworks

2+ years years of experience in Kubernetes

2+ years of experience in Agile practices

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.