Senior Go Backend Engineer — Remote, Scalable Systems

Bright Vision Technologies; Andover (MA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies seeks an experienced Golang Developer to design and build high-performance backend services, cloud-native tools, and infrastructure apps using Go. You will work on latency-sensitive systems and collaborate with product, design, engineering, and operations to translate requirements into robust, scalable solutions.

The role emphasizes Go expertise, distributed systems, container ecosystems, and ownership of code reviews, testing, and documentation.

Qualifications

• Bachelor’s degree in CS or related field.
• Five+ years of professional software engineering experience, with significant 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.

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, well-defined module boundaries, and operational hooks that make the resulting services easy to deploy and run.
• Develop CLI tools, Kubernetes controllers, and custom operators for internal platforms, designing clear command surfaces, robust error handling, and reconciliation logic that operates safely in long-running environments.
• Implement gRPC and REST APIs with appropriate observability and security.
• Profile and optimize Go applications for memory, GC, and goroutine behavior, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency.
• Integrate with messaging systems (Kafka, NATS) and data stores (PostgreSQL, Redis, etcd).
• Build comprehensive automated tests, including unit, integration, and benchmark tests.
• Implement structured logging, metrics emission, and distributed tracing throughout services so that operators and on‑call engineers have the signals they need to diagnose issues and reason about system behavior.
• Lead code reviews and uphold engineering standards in Go projects.
• Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time.
• Contribute meaningfully to internal Go libraries, shared platform tooling, and reusable patterns that accelerate development across multiple engineering teams and codify hard-won best practices.
• Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers over time.
• Continuously evaluate Go ecosystem evolution and contribute to internal patterns.

Skills

Go

Concurrency patterns

gRPC/REST APIs

CI/CD

Cloud-native / Kubernetes

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Kubernetes

PostgreSQL

Redis

etcd

Docker

Kafka

Job description

Bright Vision Technologies seeks an experienced Golang Developer to design and build high-performance backend services, cloud-native tools, and infrastructure apps using Go. You will work on latency-sensitive systems and collaborate with product, design, engineering, and operations to translate requirements into robust, scalable solutions.

The role emphasizes Go expertise, distributed systems, container ecosystems, and ownership of code reviews, testing, and documentation.