Distinguished Software Engineer - Director

Employer
Capital One
Location
Gaithersburg, MD
Posted
Oct 13, 2020
Closes
Oct 19, 2020
Ref
1300483919
Hours
Full Time
McLean 1 (19050), United States of America, McLean, Virginia Distinguished Software Engineer - Director At Capital One, we believe in the values of excellence and doing the right thing. We are a technology-oriented company delivering financial products to market through modern technology and constant innovation at a massive scale. Distinguished Engineers are Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Leaders who gain the trust and confidence of those around them, from hands on engineers to executives Whether a member of our engineering or architecture teams, Distinguished Engineers are individual contributors expected to solve problems in a fast-paced, collaborative, and iterative delivery environment. In order to meet these demands, candidates should be influential engineering leaders with deep technology expertise, and a collaborative style that brings others into the decision-making process. Distinguished Engineers will significantly impact the Tech agenda within their organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries. We are looking for a passionate technologist with a knack for delivery to join a team of talented engineers to build an intuitive, cloud based, enterprise scale Machine Learning Platform to support our Data Science and Machine Learning communities. The current stack utilizes both CPU & GPU and leverages technologies which include, but are not limited to Python, Spark, EMR, Dask, Go, TensorFlow, Docker and Kubernetes. Responsibilities: Design and develop cutting-edge solutions, using existing and emerging technology platforms Leverage sound judgment and problem solving to tackle some of Capital One s most critical problems and connect the dots to broader implications of the work Build awareness, increase knowledge and drive adoption of modern technologies and architecture patterns, sharing customer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an integrated manner Design, architect, and help implement a recommendation engine to help Capital One engineering teams comply with open source software version policies and procedures Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an integrated manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One s Tech talent Basic Qualifications: Bachelor's Degree At least 8 years of experience delivering software systems or platforms At least 3 years of experience with Microservices architecture At least 2 years of experience with Docker and DevOps automation At least 2 years of experience working with Amazon Web Services Preferred Qualifications: Masters Degree 15+ years of experience architecting and delivering software systems or platforms 8+ years of experience with Python 6+ years of experience leading and mentoring engineers 4+ years of experience with Go 4+ years of experience working with Docker 4+ years of experience working with DevOps automation 2+ years of experience building and managing Kubernetes Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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