Senior Manager, Software Engineering, Full Stack (Bank Tech) 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 solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies to join our Bank Tech team building developer experience products. As a Capital One Senior Manager, 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, Node.js, TypeScript, Python, SQL, and Kotlin, 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 experience in software engineering (Internship experience does not apply). At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud). At least 4 years of people management experience. Preferred Qualifications: Master’s Degree. 9+ years of experience in at least one of the following: Java, Node.js, TypeScript, Python, SQL, or Kotlin. 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 4+ years of experience in open source frameworks. 7+ years of people management experience. 2+ years of experience in Agile practices. 2+ years of experience building, scaling, and optimizing Machine Learning systems. 1+ years of experience leading teams developing Machine Learning solutions. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. #J-18808-Ljbffr Capital One
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