Senior Full Stack Engineer (Golang, React, TypeScript)
Posted
Summary
Senior full-stack engineer in Singapore owning production-grade products end to end: building React/TypeScript frontends, Golang backends and APIs, plus event-driven data integrations. The role spans testing, incident RCA, security/compliance, mentoring and AI-assisted development.
Your Responsibilities
Product & Feature Delivery
Translate business and operational requirements into scalable, testable and supportable product capabilities. Deliver solutions across frontend, backend and data layers. Frontend Development
Build responsive, accessible and high-performance user interfaces using
React and TypeScript . Implement component-based architecture, state management, error handling and performance optimization. Backend & API Development
Design and develop secure, resilient and observable services and APIs. Implement authorization, validation, idempotency, failure handling and API versioning practices. Data & Integration
Design data models and integrations supporting relational and event-driven systems. Production Support & Ownership
Participate in design reviews, code reviews, testing and release readiness activities. Investigate incidents, perform root-cause analysis and implement permanent corrective actions. Technical Leadership
Break down complex initiatives into manageable deliverables. Improve engineering practices and mentor team members through reviews and practical guidance. Security & Compliance
Apply secure-by-design principles. Ensure appropriate handling of sensitive data, access control, auditability, security reviews and data residency requirements. Cross-Functional Collaboration
Partner with product owners, planners, infrastructure teams, cybersecurity stakeholders and business users to resolve constraints and deliver sustainable solutions. AI-Assisted Development
Leverage AI-assisted development platforms and coding assistants to accelerate delivery while maintaining engineering quality standards. Required Qualifications
Experience
5-7+ years of professional software engineering
experience with significant ownership of production-grade full-stack systems. Technical Skills
Strong production experience with Golang, React and TypeScript. Strong backend development experience using modern frameworks and programming languages. Experience designing, operating and supporting production APIs and services. Architecture & System Design
Strong understanding of: Scalability, Reliability, Service boundaries, Consistency models, Caching, Concurrency, Failure modes, Engineering trade-offs. Event-Driven Systems
Experience with messaging, asynchronous processing or event-streaming platforms. Knowledge of retry strategies, ordering, duplicate handling and monitoring. Cloud & DevOps
Cloud-native deployment experience on Azure or equivalent cloud platforms. Familiarity with containers, CI/CD, observability, secrets management and production troubleshooting. Quality Engineering
Experience across unit, integration, contract and end-to-end testing. Strong commitment to automation-led testing practices. Communication
Ability to communicate technical decisions, risks and trade-offs to both technical and non-technical stakeholders. AI Governance
Experience with AI-assisted SDLC practices. Ability to review AI-generated outputs for security, reliability, maintainability and performance.
Product & Feature Delivery
Translate business and operational requirements into scalable, testable and supportable product capabilities. Deliver solutions across frontend, backend and data layers. Frontend Development
Build responsive, accessible and high-performance user interfaces using
React and TypeScript . Implement component-based architecture, state management, error handling and performance optimization. Backend & API Development
Design and develop secure, resilient and observable services and APIs. Implement authorization, validation, idempotency, failure handling and API versioning practices. Data & Integration
Design data models and integrations supporting relational and event-driven systems. Production Support & Ownership
Participate in design reviews, code reviews, testing and release readiness activities. Investigate incidents, perform root-cause analysis and implement permanent corrective actions. Technical Leadership
Break down complex initiatives into manageable deliverables. Improve engineering practices and mentor team members through reviews and practical guidance. Security & Compliance
Apply secure-by-design principles. Ensure appropriate handling of sensitive data, access control, auditability, security reviews and data residency requirements. Cross-Functional Collaboration
Partner with product owners, planners, infrastructure teams, cybersecurity stakeholders and business users to resolve constraints and deliver sustainable solutions. AI-Assisted Development
Leverage AI-assisted development platforms and coding assistants to accelerate delivery while maintaining engineering quality standards. Required Qualifications
Experience
5-7+ years of professional software engineering
experience with significant ownership of production-grade full-stack systems. Technical Skills
Strong production experience with Golang, React and TypeScript. Strong backend development experience using modern frameworks and programming languages. Experience designing, operating and supporting production APIs and services. Architecture & System Design
Strong understanding of: Scalability, Reliability, Service boundaries, Consistency models, Caching, Concurrency, Failure modes, Engineering trade-offs. Event-Driven Systems
Experience with messaging, asynchronous processing or event-streaming platforms. Knowledge of retry strategies, ordering, duplicate handling and monitoring. Cloud & DevOps
Cloud-native deployment experience on Azure or equivalent cloud platforms. Familiarity with containers, CI/CD, observability, secrets management and production troubleshooting. Quality Engineering
Experience across unit, integration, contract and end-to-end testing. Strong commitment to automation-led testing practices. Communication
Ability to communicate technical decisions, risks and trade-offs to both technical and non-technical stakeholders. AI Governance
Experience with AI-assisted SDLC practices. Ability to review AI-generated outputs for security, reliability, maintainability and performance.