Software Engineer (Full Stack / Product Engineer)

United States Digital Space LLC; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

United States Digital Space LLC in Singapore is seeking an experienced software engineer to own design, development, deployment, and continuous improvement of digital products. You will collaborate with product, design, and business stakeholders to translate user needs into scalable software solutions.

You will work across frontend, backend, cloud-native services, and AI-enabled features, advocating code quality, automated testing, CI/CD, observability, and secure, reliable delivery in an Agile

Qualifications

• Background in computer science or related field; hands-on software engineering experience.
• 4–8 years of professional software engineering experience, with full-stack focus.
• Product engineering in Agile environments; translating user needs into software.
• End-to-end delivery ownership from design to production monitoring.
• Strong frontend experience with React/Next.js; backend with C#/.NET or Java.
• Experience with SQL/NoSQL, API integrations, and secure coding practices.
• Cloud and DevOps experience, preferably Azure; CI/CD, Docker, Kubernetes.

Responsibilities

• Design, develop, test, and deploy cloud-native applications and services.
• Build frontend, backend, and API components for digital products.
• Translate business and user requirements into technical solutions.
• Participate in product discovery, experimentation, and iterative delivery.
• Maintain high code quality, performance, security, and reliability.
• Implement automated testing, CI/CD pipelines, and observability.
• Apply DevOps and SRE principles; reduce technical debt.
• Collaborate with Product Managers and Designers across the lifecycle.
• Integrate AI/LLM capabilities where appropriate; evaluate new tech.
• Contribute to reusable platforms, components, and design patterns.

Skills

React

Next.js

C#/.NET

Java

REST APIs

GraphQL

SQL

NoSQL

Authentication

Authorization

Azure

CI/CD

Docker

Kubernetes

Observability

Automated testing

Code reviews

Security

Reliability

Public sector exposure

AI integration

Education

Computer Science / Software Engineering degree

Tools

Azure Cloud Services

GitLab / Azure DevOps

Docker

Kubernetes

CI/CD pipelines

Job description

[What the role is]

Own the design, development, deployment, and continuous improvement of digital products that deliver measurable business and user outcomes. Work closely with Product, Design, and Business stakeholders to translate user needs into scalable, secure, and maintainable software solutions.v

[What you will be working on]

Product Development

• Design, develop, test, and deploy cloud-native applications and services.
• Build frontend, backend, and API components required for digital products.
• Translate business and user requirements into technical solutions.
• Participate in product discovery, experimentation, and iterative delivery.

Engineering Excellence

• Maintain high standards for code quality, performance, security, and reliability.
• Implement automated testing, CI/CD pipelines, and observability practices.
• Apply DevOps and Site Reliability Engineering (SRE) principles.
• Drive technical improvements and reduce technical debt.

Cross-functional Collaboration

• Partner with Product Managers and Designers throughout the product lifecycle.
• Participate in technical architecture and design discussions.
• Support user testing and validate solutions against business outcomes.

AI & Modern Engineering

• Integrate AI/LLM capabilities where appropriate.
• Evaluate emerging technologies and engineering practices.
• Contribute to reusable platforms, components, and design patterns.

[What we are looking for]

• Background in Computer Science, Software Engineering, Information Systems, Computer Engineering, or a related discipline. Candidates with a relevant diploma and strong hands‑on software engineering experience may also be considered.
• Years of experience: Preferably 4–8 years of professional software engineering experience, with at least 3 years in full-stack development or product engineering roles. Strong candidates with slightly fewer years but demonstrated product delivery experience may be considered.
• Product engineering experience: Proven ability to build, enhance, and operate digital products in an Agile or product-led environment, including translating user needs and business requirements into working software.
• End-to-end delivery: Experience owning features across the full development lifecycle, from solution design, implementation, testing, deployment, production monitoring, and continuous improvement.
• Frontend development: Strong hands‑on experience with modern frontend frameworks such as React and/or Next.js, including reusable components, responsive interfaces, performance optimisation, and integration with backend services.
• Backend development: Strong proficiency in backend development using C#/.NET or Java, with experience designing REST APIs and/or GraphQL services, applying secure coding practices, and building scalable service-based applications.
• Data and integration: Experience working with SQL and NoSQL databases, API integrations, data modelling, authentication/authorisation patterns, and enterprise system integration.
• Cloud and DevOps: Practical experience with cloud platforms, preferably Azure Cloud Services, and familiarity with CI/CD pipelines, GitLab/Azure DevOps, Docker, Kubernetes, automated testing, and deployment automation.
• Engineering quality: Strong understanding of software design principles, code reviews, automated testing, observability, security, reliability, maintainability, and technical debt management.
• Collaboration: Able to work effectively with Product Managers, Designers, Business Owners, Tech Leads, and other engineers to deliver iterative product outcomes in a cross-functional squad setting.
• Communication: Able to explain technical concepts clearly to both technical and non-technical stakeholders, document design decisions, and contribute constructively to technical discussions.
• AI and modern development: Familiarity with AI-assisted development tools, LLM integration, RAG patterns, or GenAI-enabled product features would be advantageous.
• Public sector / enterprise exposure: Experience working in public sector, enterprise, regulated, or high-availability environments would be advantageous.
• Mindset: Strong ownership, curiosity, problem-solving ability, willingness to learn, and commitment to building secure, scalable, user-centred products.