Lead Software Engineer Backend
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Job Description
Center 1 (19052), United States of America, McLean, Virginia
Lead Software Engineer Backend (Python, SQL, ETL, Spark, AWS)
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.
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
Qualifications
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
- 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js
- 2+ years of experience with AWS, GCP, Azure, or another cloud service
- 4+ years of experience in open source frameworks
- 1+ years of people management experience
- 2+ years of experience in Agile practices
Expertise level
Work arrangement
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