Staff Full-stack Engineer - Shopping (Remote-eligible)
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全职全栈工程师 - 购物(可远程)作为Capital One的一名全职工程师,您将成为一个技术专家社区的一员,共同致力于定义云时代银行业的未来。您将与我们的优秀开发人员、机器学习专家、产品经理和人员领导者团队并肩工作。我们的全职工程师是其所在领域的领先专家,帮助设计实用且可复用的解决方案来应对复杂问题。您将在多个层面推动创新,帮助优化业务……
必备技能
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职位描述 · 原文
Staff Full-stack Engineer - Shopping (Remote-eligible) As a Staff Engineer at Capital One , you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Staff Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while delivering strong technology solutions. At Capital One , we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep building our community. Staff Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other materials to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. What You’ll Do: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Drive modernization of monolithic systems into microservice architectures and event-driven platforms Collaborate with senior engineering and architecture leaders to define long-term platform strategy and API standards Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers. Lead cross-divisional projects and impacts that promote technological best practices and enhancements Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 7 years of experience in all of the following: Software engineering and solution architecture Enterprise architecture and design patterns Cloud computing (AWS, Microsoft Azure, Google Cloud) Data architecture Preferred Qualifications: Master’s Degree in Computer Science or Software Engineering 10+ years of experience in all of the following: Software engineering and solution architecture Enterprise architecture and design patterns Web technologies (JavaScript, TypeScript and SPA frameworks) Designing and building distributed HPC and ML systems Cloud computing (AWS, Microsoft Azure, Google Cloud) Data architecture 10+ years of professional experience coding in commonly used languages like Go, Java, JavaScript/Typescript, Python, Rust, C#, Scala 8+ years of experience with database and database management systems 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 8+ years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity t
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