Full Stack Engineer

DIGITAL BIZ SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Digital Biz Solutions Pte. Ltd. is seeking a Senior Full Stack Engineer to build high-performance, scalable applications across client projects. You will own feature delivery and maintain engineering excellence with a strong emphasis on reliability and collaboration.

You should be hands-on with Golang, SvelteKit, and GraphQL, with experience in microservices and modern frontend frameworks. This role offers a challenging, multi-project environment and opportunities to mentor peers.

Qualifications

• Bachelor’s degree in Computer Science or Software Engineering.
• 7+ years of professional experience as a full-stack or backend engineer.
• Strong proficiency in Golang and GraphQL APIs.

Responsibilities

• Design, develop, and maintain full-stack apps using Golang backend and SvelteKit frontend.
• Build and maintain GraphQL APIs for data-driven applications.
• Implement and evolve microservices for modularity, scalability, and resilience.
• Support bug fixes, incident response, and production stability improvements.

Skills

Golang

SvelteKit

GraphQL

Microservices

PostgreSQL

MS SQL

CI/CD

Git

React

Education

Bachelor’s degree in Computer Science / Software Engineering

Tools

Docker

Kubernetes

Job description

We are seeking a Senior Full Stack Engineer who is passionate about building high-performance, scalable, and maintainable applications across multiple client projects. The role will support both new feature delivery and steady-state engineering ownership, ensuring system reliability, strong engineering practices, and effective collaboration across stakeholders. The ideal candidate is hands-on with Golang, SvelteKit (or similar), and GraphQL, and is experienced in microservices-based architectures.

Primary Responsibilities

Application Engineering Delivery & Continuity

• Design, develop, and maintain full-stack applications using Golang (backend) and SvelteKit (frontend).
• Build, optimize, and maintain GraphQL APIs for data-driven applications.
• Implement and evolve microservices for modularity, scalability, and resilience.
• Support steady-state engineering operations: bug fixes, incident support, root cause analysis, and production stability improvements.

Architecture, Quality & Engineering Practices

• Contribute to technical architecture discussions and drive engineering best practices across client projects.
• Ensure code quality through peer reviews, automated testing, and CI/CD practices.
• Support performance tuning and system optimization (application-level and database-level).
• Maintain clear technical documentation (design notes, API contracts, runbooks where applicable).

Collaboration & Stakeholder Management

• Collaborate cross-functionally with product, design, and operations teams to deliver high-quality software.
• Provide continuity across multiple stakeholders by tracking technical dependencies, delivery risks, and follow-through items to closure.
• Mentor engineers and contribute to team capability uplift through guidance and knowledge sharing.

Key Requirements

• Bachelor’s degree in Computer Science / Software Engineering or related discipline.
• 7+ years of professional experience as a full-stack or backend engineer.
• Strong proficiency in Golang for backend development.
• Proficiency in SvelteKit or similar modern frontend frameworks (e.g., React, Vue).
• Experience building and maintaining GraphQL APIs.
• Deep understanding of microservices architecture and distributed systems concepts.
• Strong SQL skills with experience in PostgreSQL and MS SQL (schema design, query tuning).
• Familiarity with CI/CD pipelines, testing practices, and version control (e.g., Git).
• Strong problem-solving, debugging, and communication skills.

Good to Have

• Experience delivering solutions on AWS (e.g., Lambda, ECS, RDS, S3, API Gateway).
• Familiarity with Temporal Workflow (or similar orchestration frameworks).
• Experience with Node.js for backend/API development.
• Experience with Docker and/or Kubernetes.
• Background in performance tuning, observability, and system optimization.
• Experience mentoring or leading small engineering teams.

Soft Skills

• Strong ownership mindset with disciplined follow-through across multiple client deliverables.
• Clear written and verbal communication with both technical and non-technical stakeholders.
• Strong coordination and collaboration skills across cross-functional teams.
• Demonstrated quality delivery and consistent incremental improvement.

Advantage

• Familiar with AI-assisted development and the use of AI tools to improve productivity and code quality.