Sr Lead Software Engineer

We are seeking 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.

Our team is at the forefront of protecting millions of customers by building high-throughput, real-time streaming pipelines and services that evaluate credit card transactions for fraud as they happen. Operating at the intersection of application engineering, data engineering, and data science, we utilize a robust stack of Java, Python, and Go deployed natively on AWS to scale our machine learning scoring models and decision engines.

As an engineer on this team, you will dive into cutting-edge machine learning feature engineering, continuous experimentation, and the development of agentic tooling for advanced data analysis. Join us to solve complex, high-stakes distributed systems problems where your code directly safeguards financial transactions in milliseconds.

- 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

- 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)

- 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

- 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.