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What You’ll Do:
Build the next generation of the Machine Learning Platform which hosts business-critical Machine Learning models for the company
Create custom-built SDKs, work with Data Scientists to onboard new ML models, identify customer pain points, and design solutions to eliminate these pain points
Contribute to the improvement of Platform Observability to enable early detection of platform outages and failures
Contribute to a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems
Collaborate with product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like Python, SQL, Node, Go, Open Source RDBMS and NoSQL databases, React, TypeScript, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Basic Qualifications:
Bachelor’s Degree
At least 4 years of professional software engineering experience (Internship experience does not apply)
Preferred Qualifications:
5+ 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
3+ years of experience in open source frameworks
2+ years of experience in Agile practices
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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