Senior Go Backend Engineer — Remote, Cloud-Native

Embedded Shishya

United States

Remote

USD 100,000 - 175,000

Full time

3 days ago
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Job summary

Bright Vision Technologies is seeking an experienced Golang Developer for a 100% remote role in the United States. The candidate will design and build high-performance backend services, infrastructure tooling, and cloud-native applications using Go, focusing on latency, concurrency, and operational efficiency.

The ideal engineer combines deep Go expertise with systems knowledge, including networking, containers, and distributed design, and collaborates with product, design, and operations to

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of professional software engineering experience, with significant time in Go.
  • Strong understanding of Go concurrency patterns (goroutines, channels, contexts).
  • Hands-on experience building production gRPC and/or REST APIs in Go.
  • Experience with Kubernetes-native development (client-go, controller-runtime).
  • Solid experience with relational and key-value data stores.
  • Strong understanding of distributed systems and networking fundamentals.
  • Experience with CI/CD pipelines and container-based deployment.
  • Excellent debugging and performance-engineering skills.
  • Strong communication and documentation skills.

Skills

Go
Go concurrency patterns
REST APIs
gRPC
Distributed systems
Networking fundamentals
Debugging/Perf engineering
Communication

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Kubernetes (client-go)
controller-runtime
Relational data stores
Key-value stores
CI/CD

Job description

Bright Vision Technologies is seeking an experienced Golang Developer for a 100% remote role in the United States. The candidate will design and build high-performance backend services, infrastructure tooling, and cloud-native applications using Go, focusing on latency, concurrency, and operational efficiency.

The ideal engineer combines deep Go expertise with systems knowledge, including networking, containers, and distributed design, and collaborates with product, design, and operations to

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