Golang Developer

Beinex is a fast-growing AI and product engineering company focused on building innovative, scalable, and intelligent products. Our Product Development Team designs, develops, and enhances cutting-edge platforms and solutions by combining strong engineering practices, user-centric design, and AI-first innovation.

• Design, develop, and maintain scalable backend applications and production-grade services using Go.
• Build robust RESTful and gRPC APIs using Go frameworks and libraries such as Gin, Echo, Fiber, or net/http.
• Develop highly concurrent and performant services using idiomatic Go, goroutines, channels, and appropriate concurrency patterns.
• Design and implement scalable backend architectures and independently solution, architect, and implement features end-to-end.
• Work extensively with PostgreSQL and relational databases, including schema design, indexing, query optimisation, transactions, and performance tuning.
• Develop and maintain integrations with cloud platforms such as AWS and Azure.
• Containerise and deploy backend applications using Docker and modern cloud deployment practices.
• Write comprehensive unit, integration, and API tests using Go testing, Testify, or similar frameworks.
• Participate in code reviews and ensure code quality, security, scalability, maintainability, and performance.
• Collaborate with front-end developers, designers, product managers, and other cross-functional teams to deliver end-to-end product features.
• Troubleshoot production issues, identify root causes, and implement reliable and scalable solutions.
• Use AI coding tools such as Cursor, Claude Code, GitHub Copilot, Antigravity, or Windsurf as part of the primary development workflow.
• Critically review, validate, refactor, and improve AI-generated code for correctness, security, performance, and maintainability.
• Stay updated with modern Go ecosystem developments, backend engineering practices, cloud technologies, and AI-assisted development tools.

• 1.5+ years of professional experience in backend software engineering with strong hands-on experience in Go.
• Strong proficiency in Go, including:
• Idiomatic Go programming
• Goroutines and channels
• Concurrency and parallelism
• Error handling
• Interfaces and composition
• Context management
• Memory and performance considerations
• Strong experience building production-grade RESTful and gRPC APIs using Go.
• Hands-on experience with Go frameworks and libraries such as Gin, Echo, Fiber, or net/http.
• Strong understanding of backend architecture, API design, service-oriented architecture, and scalable application development.
• Solid knowledge of PostgreSQL and relational databases
• Hands-on experience with Docker and containerised application development.
• Practical experience with cloud platforms such as AWS and/or Azure.
• Experience with testing frameworks and practices such as Go testing, Testify, unit testing, integration testing, and API testing.
• Good understanding of Git, code reviews, debugging, logging, monitoring, and production troubleshooting.
• Ability to independently analyse requirements, architect solutions, and implement features with minimal supervision.
• Good understanding of security, scalability, performance, and maintainability in backend systems.
• Good communication skills and ability to work effectively in Agile/Scrum environments.

• Hands-on experience with vibe coding — using AI tools to drive code generation, iteration, debugging, and problem-solving.
• Proficiency in at least one AI coding IDE/tool such as Cursor, Claude Code, GitHub Copilot, Antigravity, or Windsurf.
• Strong prompt-engineering skills to create precise prompts for generating, refactoring, optimising, and debugging Go code.
• Ability to critically evaluate AI-generated code and refine it for correctness, security, performance, scalability, and maintainability.
• Ability to effectively combine AI-assisted development with strong software engineering fundamentals.
• Keeps up to date with the latest AI development tools, coding workflows, and best practices.