M43 - 全栈工程师
M43 - Full Stack Engineer
Overview
我们正在寻找一名云平台与全栈工程师，帮助构建一个现代化的拨款平台，实现拨款计划的数字化和自动化管理。您将设计和开发可扩展的云基础设施、CI/CD流水线、系统集成和工作流服务，以支持端到端的拨款处理。
在敏捷工程团队中工作，您将利用云原生技术、DevOps实践和政府科技（GovTech）平台，交付可靠、安全且可观测的数字服务。该职位结合了基础设施工程与应用开发和集成，非常适合喜欢在完整技术栈中工作的工程师。
Responsibilities
- 为开发、预发布和生产环境设计、构建和管理云基础设施。
- 开发和维护CI/CD流水线，以自动化构建、测试、发布和部署流程。
- 使用Docker对应用程序进行容器化，并使用基础设施即代码（Terraform、OpenTofu或类似工具）管理基础设施。
- 使用工作流自动化平台（如Opus）设计和实现工作流、业务规则和决策服务。
- 使用API构建和维护安全、可靠的系统集成，协调多个应用程序和平台之间的数据。
- 开发、集成、测试和维护全栈软件组件和服务。
- 实施监控、日志记录和警报，以确保平台的可靠性、可观测性和运营卓越性。
- 设计可扩展的解决方案架构，并评估新兴技术（包括AI），以增强平台功能。
- 编写技术规范，并在整个软件开发生命周期中提供实际的技术支持。
- 在敏捷环境中与跨职能利益相关者合作，交付高质量的数字解决方案。
Requirements
- 计算机科学、信息系统、计算机工程或相关专业的学位，或同等的实际经验。
- 在云基础设施和容器平台（如Kubernetes、AWS、GCP或类似工具）方面有扎实的实践经验。
- 有实施DevOps最佳实践的经验，包括使用GitLab CI等工具的CI/CD流水线。
- 熟练使用Docker和基础设施即代码工具（如Terraform、Terragrunt或OpenTofu）。
- 有设计和构建API集成和分布式系统工作流的经验，注重可靠性、安全性和可扩展性。
查看英文原文
Overview
We are looking for a Cloud Platform & Full Stack Engineer to help build a modern grants platform that digitises and automates the administration of grant schemes. You will design and develop scalable cloud infrastructure, CI/CD pipelines, system integrations, and workflow services that power end-to-end grant processing.
Working within an agile engineering team, you will leverage cloud-native technologies, DevOps practices, and GovTech platforms to deliver reliable, secure, and observable digital services. This role combines infrastructure engineering with application development and integration, making it ideal for engineers who enjoy working across the full technology stack.
Responsibilities
- Design, build, and manage cloud infrastructure for development, staging, and production environments.
- Develop and maintain CI/CD pipelines to automate build, testing, release, and deployment processes.
- Containerise applications using Docker and manage infrastructure using Infrastructure as Code (Terraform, OpenTofu or similar).
- Design and implement workflows, business rules, and decision services using workflow automation platforms such as Opus.
- Build and maintain secure, reliable system integrations using APIs to orchestrate data between multiple applications and platforms.
- Develop, integrate, test, and maintain full-stack software components and services.
- Implement monitoring, logging, and alerting to ensure platform reliability, observability, and operational excellence.
- Design scalable solution architectures and evaluate emerging technologies, including AI, to enhance platform capabilities.
- Prepare technical specifications and provide hands-on technical support throughout the software development lifecycle.
- Collaborate with cross-functional stakeholders in an agile environment to deliver high-quality digital solutions.
Requirements
- Degree in Computer Science, Information Systems, Computer Engineering, or a related discipline, or equivalent practical experience.
- Strong hands-on experience with cloud infrastructure and container platforms such as Kubernetes, AWS, GCP, or equivalent.
- Experience implementing DevOps best practices, including CI/CD pipelines using tools such as GitLab CI.
- Proficiency with Docker and Infrastructure as Code tools such as Terraform, Terragrunt, or OpenTofu.
- Experience designing and building API integrations and distributed system workflows with a focus on reliability, security, and traceability.
- Working knowledge of modern web technologies such as React and Node.js.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and stakeholder management skills.
- Ability to work independently while collaborating effectively within cross-functional teams.
Preferred
- Experience working with Singapore Government cloud environments, SGTS infrastructure, or GovTech platforms such as SHIP-HATS, Opus, GatherSG, or ApplySG.
- Experience designing solutions for complex, large-scale enterprise systems.
- Comfortable working in a fast-paced, evolving engineering environment and contributing to engineering best practices.
- Interest in adopting emerging technologies, including AI, to improve digital products and engineering processes.
Originally posted on Himalayas