Golang Developer
Edison, Middlesex County, New Jersey, 08818, USA
Listed on 2026-05-19
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Software Development
Backend Developer, Software Engineer
Company Overview
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.
Job TitleGolang Developer
Location100% Remote (Continental United States)
Position TypeIn‐house Bright Vision Technologies SOW engagement (no third‑party client or vendor)
Experience5+ years
SponsorshipNo new H1B sponsorship available. H1B transfers welcomed for qualified candidates.
Employment TypeFull‑time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third‑party)
EngagementLong‑term, multi‑year, aligned to the Bright Vision SOW delivery roadmap.
CompensationCompetitive base salary commensurate with experience, plus benefits.
Job SummaryWe 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.
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.
- 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 (Postgre
SQL, 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.
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
- Five or more years of professional software engineering experience, with…
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