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Capital One

Staff Engineer - Software Engineering

mc lean, VA

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About this opportunity

Capital One lists this Staff Engineer - Software Engineering opportunity in mc lean, Virginia. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Distinguished Engineer - Software EngineeringAs a Distinguished Engineer at Capital One, you will be a 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 Distinguished 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 driving towards 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 internal talent and actively recruiting to keep building our community.Distinguished 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 material 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.In this role you will work with teams across the company to create real-time and intelligent finance through an AI-powered platform for end-to-end business process automation, offering transparent, real-time workflow observability with natural language data interactions. You won't just execute a roadmap, you will be a strategist defining which modern technologies will solve problems our stakeholders haven't even imagined yet.If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.Key responsibilities:Articulate and evangelize a bold technical vision for your domainDecompose complex problems into practical and operational solutionsEnsure the quality of technical design and implementationServe as an authoritative expert on non-functional system characteristics, such as performance, scalability and operabilityContinue learning and injecting advanced technical knowledge into our communityHandle several projects simultaneously, balancing your time to maximize impactBe hands-on and at the forefront of high-order problems such as multi-tenancy, right-time insights, centralized anomaly detection and action, and agentic patterns for Finance business orchestration.Mentor and upskill the senior engineering talent within the organization, fostering a culture of technical excellence and innovation, and ensuring our innovation is not just fast, but scalable and resilient.Basic Qualifications:Bachelor's DegreeAt least 7 years of experience inGeneral softwareSoftware engineering and solution architectureEnterprise architecture and design patternsSoftware specializationsWeb technologies (Javascript, TypeScript and SPA frameworks)Full ML development lifecycle using AI and ML frameworksOther specializationsCloud computing (AWS, Microsoft Azure, Google Cloud)Data architecturePreferred Qualifications:Bachelor's or Master's Degree in Computer Science or a related field.10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc.8+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support.3+ years of experience with public or private cloud technologies.Experience in implementing Artificial Intelligence or Artificial Intelligence-enabled solutions.

Worksite address

mc lean, VA, 22101, US

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