Senior/Principal Full Stack Developer

vinova pte. ltd.; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

vinova pte. ltd. is seeking a senior software engineer to drive end-to-end development across frontend, backend and data layers. You will design robust APIs, implement secure and scalable services, and contribute to production readiness and incident resolution.

The role emphasizes strong system design, AI-assisted SDLC usage, and collaboration with product, OT teams, and infrastructure to deliver reliable software on Azure. Excellent communication and leadership of peers are expected.

Qualifications

• 5-7+ years of professional software engineering experience.
• Strong production experience with Golang, React and TypeScript.
• Experience designing and operating APIs and services in production.
• Cloud-native delivery experience on Azure.
• Experience with AI-assisted SDLC and software delivery practices.

Responsibilities

• End-to-end delivery translating business needs into features across frontend, backend and data layers.
• Collaborate in design reviews, code reviews, testing and release readiness.
• Own production systems including incident diagnosis and post-incident actions.
• Work with cross‑team stakeholders to resolve constraints and deliver outcomes.
• Leverage AI-assisted tools to accelerate software delivery while preserving quality.

Skills

Full-stack ownership

Backend API design

System design fundamentals

Asynchronous processing

AI-assisted SDLC

Tools

Golang

React

TypeScript

Azure

CI/CD

Job description

What you will be working on

End-to-end delivery: Turn business and operational needs into well-designed, testable and supportable product features

across frontend, backend and data layers.

Frontend engineering: Build clear, responsive and accessible interfaces using React with TypeScript using component

design, state management, error handling and performance optimization.

Backend and API engineering: Design secure, observable and resilient services and APIs, including validation,

authorization, idempotency, failure handling and versioning.

Data and integration: Model data and implement integrations for relational and event-driven workloads.

Production ownership: Participate in design reviews, code reviews, testing, release readiness, incident diagnosis, root?cause analysis and permanent corrective actions.

Engineering leadership: Break down complex work, challenge weak assumptions, improve team practices and coach

engineers through practical examples and reviews.

Security and compliance: Apply secure-by-design practices for sensitive and operational data, including least privilege,

secrets handling, auditability, data residency and security review requirements.

Cross-team delivery: Work directly with product owners, planners, OT teams, infrastructure, cybersecurity, vendors and

business users to resolve constraints and deliver sustainable outcomes.

Agentic AI development: Leverage AI-assisted development tools (e.g. GitHub Copilot, agentic coding assistants and AI?powered developer platforms) to accelerate software delivery while maintaining engineering quality.

What we are looking for

5-7+ years of professional software engineering experience, including substantial ownership of production full-stack

systems. Strong candidates with equivalent depth of experience will also be considered.

Strong production experience with Golang, React and TypeScript, including component architecture, hooks, state

management, forms, testing and frontend performance.

Strong backend development experience in at least one modern language and framework, with evidence of designing and

operating APIs and services in production.

Solid system-design fundamentals: service boundaries, scalability, reliability, consistency, caching, concurrency, failure

modes and pragmatic trade-offs.

Experience with asynchronous processing, messaging or event streaming, including retry, ordering, duplicate handling and

operational monitoring.

Cloud-native delivery experience on Azure or an equivalent platform, including containers, CI/CD, configuration and secrets

management, observability and production troubleshooting.

Demonstrated testing discipline across unit, integration, contract and end-to-end levels, with sensible use of test automation

rather than reliance on manual verification.

Strong written and verbal communication. Able to explain technical decisions, risks and trade-offs clearly to engineering and

non-technical stakeholders.

Experience in using AI-assisted SDLC and software delivery practices.

Ability to review AI-generated outputs and ensure they meet security, performance, reliability and maintainability

requirements