Capital Oneposted 7 days ago
$120,900 - $151,800/Yr
Full-time
Richmond, VA
Credit Intermediation and Related Activities

About the position

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 Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. This opportunity will be within our growing Finance Tech ERP Team, supporting enterprise greenfield implementation initiatives within a modern data ecosystem. This individual will be responsible for engineering code and integrating real time, streaming data, while also supporting how Machine Learning and LLM technologies can be utilized to optimize workflows and add efficiencies into the environment.

Responsibilities

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
  • 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
  • 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

Requirements

  • Bachelor's Degree
  • At least 1.5 years of professional software engineering experience (Internship experience does not apply)

Nice-to-haves

  • 1+ years experience with Machine Learning or Large Language Model (LLM) technologies
  • 3+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
  • 1+ years of experience with AWS, GCP, Azure, or another cloud service
  • 2+ years of experience in open source frameworks
  • 2+ years of experience in Agile practices

Benefits

  • Comprehensive health benefits
  • Financial benefits
  • Other benefits that support total well-being
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