Full-Stack Engineer(2026/2027 Graduate)
Posted Updated
Summary
Graduate (2026/2027) full-stack engineer at gaming company H2 Games in Singapore: building and iterating on core platform features across frontend and backend, translating requirements into data models and APIs, and applying AI to real product workflows alongside product, design, and data teams.
At H2 Games, we combine creativity, technology, and data to drive user growth in smarter, more efficient ways.
We continuously explore and apply emerging AI technologies to build growth products and scalable platform capabilities that help cross-functional teams innovate and iterate faster. You will work closely with product, creative, data, and engineering partners to turn new ideas into practical product capabilities, solve real business problems, and grow into an engineer who can own features end to end.
Job Responsibilities
Participate in the design, development, and iteration of core platform features across the frontend and backend. Translate business requirements into clear data models, service APIs, and technical solutions with support from the team. Help build reliable, secure, and scalable backend services and data capabilities. Explore and apply AI technologies to real product workflows, ensuring outputs are understandable, verifiable, and reversible where appropriate. Collaborate with product, design, data, and business teams to turn complex capabilities into simple, intuitive user experiences. Participate in technical discussions, code reviews, and engineering practices that improve code quality and delivery efficiency. Continuously learn new technologies and contribute to improvements in product performance, stability, and user experience. Job Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, graduating in 2026 or 2027. Solid computer science fundamentals, including data structures, algorithms, operating systems, computer networks, and databases. Interest in both frontend and backend development, with a basic understanding of modern web application architecture and development workflows. Familiarity with relational databases and file or object storage; exposure to access control, data security, or data isolation is a plus. Internship experience, personal projects, coursework, open-source contributions, or programming competition experience is preferred. Strong problem-solving skills, curiosity, and a willingness to learn quickly in a fast-moving environment. Good communication and collaboration skills, with the ability to work effectively across functions. Interest in practical AI applications and AI-assisted development tools, while maintaining high standards for code quality, security, and reliability.
Participate in the design, development, and iteration of core platform features across the frontend and backend. Translate business requirements into clear data models, service APIs, and technical solutions with support from the team. Help build reliable, secure, and scalable backend services and data capabilities. Explore and apply AI technologies to real product workflows, ensuring outputs are understandable, verifiable, and reversible where appropriate. Collaborate with product, design, data, and business teams to turn complex capabilities into simple, intuitive user experiences. Participate in technical discussions, code reviews, and engineering practices that improve code quality and delivery efficiency. Continuously learn new technologies and contribute to improvements in product performance, stability, and user experience. Job Requirements
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, graduating in 2026 or 2027. Solid computer science fundamentals, including data structures, algorithms, operating systems, computer networks, and databases. Interest in both frontend and backend development, with a basic understanding of modern web application architecture and development workflows. Familiarity with relational databases and file or object storage; exposure to access control, data security, or data isolation is a plus. Internship experience, personal projects, coursework, open-source contributions, or programming competition experience is preferred. Strong problem-solving skills, curiosity, and a willingness to learn quickly in a fast-moving environment. Good communication and collaboration skills, with the ability to work effectively across functions. Interest in practical AI applications and AI-assisted development tools, while maintaining high standards for code quality, security, and reliability.