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You will join a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to build cutting edge software solutions to address fundamental risk management issues.
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At least 8 years of experience in DevOps Engineering (Internship experience does not apply) Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Lead a portfolio of diverse technology projects and a team of developers with deep experience in machine learning, distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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We're working to build a new, modern core banking system which will become the system of record for all account balances and transaction processing at Capital One. Your role would contribute to the Platform Engineering efforts to make that possible, including designing and implementing resiliency approaches, driving deployment patterns, owning observability/alerting standards for the platform and more.
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At least 6 years of experience in software engineering (Internship experience does not apply) We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our business, our customers, or our communities.
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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.
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West Creek 1 (12071), United States of America, Richmond, VirginiaManager, Software Engineering, Full Stack. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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The Intelligent Foundations and Experiences (IFX) organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.
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At least 4 years of experience in software engineering (Internship experience does not apply) Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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