Full Stack Engineer (Golang / React / TypeScript)

About the role

An experienced mid to senior level Golang engineer is sought to design, develop and maintain scalable, secure and reliable applications. The role covers end-to-end software delivery across frontend, backend and data integration, working with cross-functional teams.

Key responsibilities

• Design, develop and maintain full-stack applications, turning business requirements into scalable, reliable solutions.
• Build responsive, accessible, high-performance frontend apps with React and TypeScript, using reusable components, state management and robust error handling.
• Develop secure backend services and RESTful APIs with authentication, authorization, validation, versioning and error handling.
• Design data models and integrations for relational databases, asynchronous processing and event-driven architectures.
• Take part in system design, code reviews, automated testing, CI/CD deployments, production troubleshooting and root cause analysis.
• Apply cloud-native practices: containerization, configuration management, monitoring and observability.
• Implement secure coding practices, including data protection, access controls, secrets management and compliance.
• Collaborate with product owners, infrastructure, cybersecurity, OT teams, vendors and business stakeholders.
• Mentor engineers, guide technical decisions and use AI-assisted tools such as GitHub Copilot to improve efficiency.

Required profile

• 5-7+ years of software engineering experience owning production-grade full-stack applications.
• Strong system design knowledge: scalability, concurrency, caching, reliability, consistency and fault tolerance.
• Experience with asynchronous processing, messaging systems and event-driven architectures.
• Hands-on experience with Microsoft Azure or equivalent cloud platforms, containerization, CI/CD pipelines, configuration management and observability.
• Proficiency in automated testing (unit, integration, contract, end-to-end).
• Experience with secure software development and handling sensitive or operational data.
• Familiarity with AI-assisted SDLC and reviewing AI-generated code for security, performance and maintainability.
• Strong analytical, problem-solving and communication skills.