Go Backend Engineer — Remote

Bright Vision Technologies; Oregon; Híbrido; USD 130.000 - 145.000; Jornada completa

Descripción de la vacante

Bright Vision Technologies is seeking a Go Application Engineer to design and build high-performance backend services and cloud-native applications using Go. You will work on latency, concurrency, and operational efficiency as core concerns, and contribute to a shared codebase across multiple teams.

The ideal candidate has strong Go expertise, broad systems knowledge (networking, containers, distributed systems), and experience collaborating with product, design, operations, and business

Formación

• 5+ 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.

Responsabilidades

• Design and implement high-performance backend services in Go.
• Build cloud-native tooling and infrastructure components.
• Collaborate with cross-functional teams to translate requirements.
• Mentor junior engineers and contribute to code reviews.

Conocimientos

Go programming

Go concurrency

REST APIs

gRPC

Kubernetes

Distributed systems

CI/CD

Debugging

Documentation

Herramientas

client-go

controller-runtime

gRPC

REST API development

Descripción del empleo

Bright Vision Technologies is seeking a Go Application Engineer to design and build high-performance backend services and cloud-native applications using Go. You will work on latency, concurrency, and operational efficiency as core concerns, and contribute to a shared codebase across multiple teams.

The ideal candidate has strong Go expertise, broad systems knowledge (networking, containers, distributed systems), and experience collaborating with product, design, operations, and business