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Lead Java Full Stack Engineer

bright vision technologies·US·United States·senior
javascriptjavaspringdevops
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Lead Java Full Stack Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Lead Java Full Stack Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $80,000–$100,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an accomplished Lead Java Full Stack Engineer to architect, design, develop, and maintain enterprise-grade web applications and distributed systems that operate at significant scale and across multiple business domains. In this role you will be responsible for the end-to-end engineering lifecycle, from translating business requirements into robust technical designs, to writing production-quality code, to deploying cloud-native services and supporting them through their full operational lifespan. The successful candidate will bring deep backend expertise in Java and the Spring ecosystem, combined with strong hands-on experience building responsive, component-driven front-end applications using modern JavaScript frameworks. You will work closely with product managers, architects, DevOps engineers, and fellow developers in an Agile environment to deliver high-quality, secure, and performant applications that directly support strategic business outcomes. Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a closely related technical discipline. Five or more years of professional software development experience building production-grade enterprise applications. Strong, demonstrable understanding of data structures, algorithms, computat

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