$ cat jobs/golang-software-engineer-bright-vision-technologies-e4a5894a7ef9.json
Golang Software Engineer
Generative AI Specialist - 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: Generative AI Specialist Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 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 experienced Golang Developer to design and build high-performance backend services, infrastructure tooling, and cloud-native applications using Go. In this role you will work on systems where latency, concurrency, and operational efficiency are first-class concerns, and you will contribute to a codebase shared by engineers across multiple teams. The ideal candidate will combine strong Go expertise with broad systems knowledge, including network programming, container ecosystems, and distributed system design. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Key Responsibilities Design and implement performant backend services and APIs in Go, with strong attention to concurrency, error handling, and resource management. Build cloud-native applications using Go and Kubernetes-native libraries, applying idiomatic Go patterns, wel
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