Full-Stack Engineer
Posted
Summary
Lead design, development, and maintenance of secure, scalable full-stack applications at Vinova, a Singapore software development company. Day to day: set engineering standards, run code reviews, mentor developers, and drive AI-assisted development (AI-DLC) using AWS, GitLab CI/CD, and Kubernetes/EKS.
Company Overview
Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Since 2010, it has served global clients in IoT, blockchain, fintech, networking, and ecommerce, delivering quality products through passionate, collaborative teams.
Job Summary
Lead the design, development, and maintenance of secure, scalable full-stack applications. Drive engineering best practices, mentor developers, and implement AI-assisted development to enhance software quality and team capability.
Responsibilities
Design, develop, and maintain secure, scalable, and high-quality full-stack applications across frontend and backend environments Establish and promote software engineering standards and best practices, including code quality, testing, security, CI/CD, and production readiness Conduct technical and code reviews to improve software quality, maintainability, and developer productivity Drive adoption of AI-DLC practices, implementing appropriate guardrails for AI-assisted development throughout the software development lifecycle Develop reusable engineering guidelines, patterns, and quality gates to ensure consistency across development teams Mentor developers and facilitate technical knowledge sharing to enhance engineering capability and maturity
Required Competencies And Certifications
Degree or Diploma in Computer Science, Computer/Electronics Engineering, Information Technology, or related discipline Strong hands-on experience in full-stack development Strong knowledge of software design, Git, automated testing, CI/CD, and secure development practices Experience with cloud platforms, containerization, and application observability Demonstrated experience in technical leadership, engineering best-practice adoption, and developer mentoring Practical experience with AI-assisted software development and AI-DLC practices Hands-on experience with AWS, GitLab CI/CD, and Kubernetes/EKS Experience implementing automated engineering quality or security gates within CI/CD pipelines
Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. Since 2010, it has served global clients in IoT, blockchain, fintech, networking, and ecommerce, delivering quality products through passionate, collaborative teams.
Job Summary
Lead the design, development, and maintenance of secure, scalable full-stack applications. Drive engineering best practices, mentor developers, and implement AI-assisted development to enhance software quality and team capability.
Responsibilities
Design, develop, and maintain secure, scalable, and high-quality full-stack applications across frontend and backend environments Establish and promote software engineering standards and best practices, including code quality, testing, security, CI/CD, and production readiness Conduct technical and code reviews to improve software quality, maintainability, and developer productivity Drive adoption of AI-DLC practices, implementing appropriate guardrails for AI-assisted development throughout the software development lifecycle Develop reusable engineering guidelines, patterns, and quality gates to ensure consistency across development teams Mentor developers and facilitate technical knowledge sharing to enhance engineering capability and maturity
Required Competencies And Certifications
Degree or Diploma in Computer Science, Computer/Electronics Engineering, Information Technology, or related discipline Strong hands-on experience in full-stack development Strong knowledge of software design, Git, automated testing, CI/CD, and secure development practices Experience with cloud platforms, containerization, and application observability Demonstrated experience in technical leadership, engineering best-practice adoption, and developer mentoring Practical experience with AI-assisted software development and AI-DLC practices Hands-on experience with AWS, GitLab CI/CD, and Kubernetes/EKS Experience implementing automated engineering quality or security gates within CI/CD pipelines