Senior Full Stack Developer (EGG Digital)
Summary
EGG Digital (Ascend Group) seeks a Senior Full Stack Developer in Bangkok to own features end to end: React/TypeScript frontends with data-dense dashboards, backend services and APIs, and PostgreSQL/Redis data layers, deployed on AWS/GCP/Azure with Docker/Kubernetes. Includes on-call incident response, mentoring, and AI-assisted development.
About the role
EGG Digital is looking for a Senior Full Stack Developer to design, build, and ship features end to end across React/TypeScript frontends and modern backend services, with a focus on data-dense, high-performance products. You will own features from technical design through production release and on-call operation, driving technical quality, reliability, and sound architecture decisions. Working within an agile team alongside product, design, data, and quality, you will mentor less experienced developers and use AI-assisted tooling to raise throughput without lowering the quality bar.
Key responsibilities
Design, build, test, and ship features across the full stack, owning them from technical design and estimation through production release and post-release monitoring, and breaking ambiguous requirements into well-scoped, incremental deliveries
Build responsive, performant, accessible interfaces for complex data-heavy views, working from design specifications and advising on feasibility and interaction detail, and own component architecture, state management, and rendering performance in a React-class framework
Develop and maintain services, APIs, data models, and integrations with internal and third-party systems, designing for reliability, security, and performance under load with clear API contracts, idempotent operations, and sensible caching and pagination
Write and review technical design documents for medium-to-large features, evaluate trade-offs such as build versus reuse, synchronous versus asynchronous, and data model choices, and contribute to platform-wide architecture decisions
Write clean, well-tested, well-documented code, contribute actively to code review, pay down technical debt deliberately, and instrument features with logging, metrics, and tracing so they are supportable in production
Take part in the on-call rotation, diagnose and resolve production incidents, contribute to blameless post-mortems, and follow through on the fixes that prevent recurrence
Work within an agile team alongside product, design, data, and quality functions, mentor less experienced developers through pairing and code review, and use AI-assisted development tools to raise throughput without lowering the quality bar
About you
Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
A minimum of 5 years of professional software development experience delivering production web applications end to end in an agile environment, including ownership of features from design through operation in a product or high-scale environment
Strong command of React (or a comparable component-based framework) and TypeScript, including hooks, state and server-state management (e.g. Redux, Zustand, React Query), routing, code splitting, rendering performance, and accessibility (WCAG) fundamentals, with experience building on a design system
Depth in at least one modern backend language (e.g. TypeScript/Node.js, Python, Go, Java/Kotlin), with solid API design (REST, GraphQL, or gRPC), authentication and authorisation (OAuth 2.0, OIDC, JWT, role-based access), input validation, and secure coding practices
Relational data modelling and query optimisation in PostgreSQL or equivalent, familiarity with NoSQL and caching stores such as Redis, and experience with ORMs or query builders and versioned schema migrations
Experience building dashboards or analytical views with charting libraries (e.g. D3, ECharts, Recharts), virtualised tables, and browser-side performance optimisation for large datasets
Git workflows, automated testing at unit, integration, and end-to-end levels (e.g. Jest, Vitest, Playwright), CI/CD pipelines, Docker, and deployment on a major cloud platform (AWS, GCP, or Azure), with a working understanding of Kubernetes
Experience instrumenting services with logging, metrics, and tracing, debugging production issues from telemetry, and designing for graceful degradation, timeouts, and retry and backoff behaviour
Strong debugging and analytical skills, the ability to reason about system behaviour across frontend, backend, and data layers, and the judgement to know when to optimise and when to ship
Able to work independently, write clear technical documentation and design notes, communicate progress and blockers clearly, and collaborate across disciplines


