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Full-stack Engineer 5 - Shopping (Remote-Eligible)
Capital One · Remoto Brasil · Flexible / Remote
Publicada em 24/09/2026
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Full-stack Engineer 5 - Shopping (Remote-Eligible)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 leveraging cutting-edge open source frameworks and emerging technologies. In this role, you'll be at the forefront of driving a major transformation across 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 companyShare 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 communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentUtilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and servicesProvide technical leadership across multiple teams, shaping system architecture and long-term technology directionDrive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirementsPartner with architects and product leaders to define platform roadmaps and shared services strategyBasic Qualifications:Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, M
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