Skill diminta
CI/CDDeliveryDockerEnglishFlutterJavaLeadershipLinuxLogisticsMicroservicesMySQLNode.jsProject ManagementRedis
Deskripsi
KEY RESPONSIBILITIES
- Hands-on coding, architectural design, system construction, and technical execution across Full Stack applications.
- Lead, mentor, and manage a high-performing engineering team (14+ engineers across Product, BE, FE, Flutter, QA).
- Drive project prioritization, technical resource planning, release management, and ensure timely delivery of engineering milestones.
- Champion the adoption of AI-assisted software development and coding tools (Cursor, Claude Code, GitHub Copilot) to maximize team productivity and reduce defects.
- Define and construct scalable software architecture, implementing robust Code Reviews, CI/CD pipelines, and automated testing workflows.
- Transform the current engineering setup into a highly efficient, AI-native development organization.
REQUIREMENTS
- Bachelor's degree or above in Computer Science, Software Engineering, or related disciplines.
- Minimum 5–8 years of solid, hands-on software engineering experience, with at least 3+ years leading/managing engineering teams and projects.
- Proven ability to code, design system architecture, and manage end-to-end technical project delivery.
- Tech Stack Mastery: Java, Go, Node.js, Flutter, MySQL, Redis, Linux, Docker, Cloud Deployment, and Microservices.
- Active experience integrating and utilizing AI coding tools (Cursor, Claude Code, GitHub Copilot, OpenAI API, Gemini, DeepSeek, MCP, AI Agents) directly in development workflows.
- Mandatory experience building or operating large-scale internet platforms (Ride-Hailing, E-commerce, Logistics, Fintech, Payment, or SaaS).
- Fluent in English; Upper-Intermediate level is highly welcome to apply.
- Preferably available to join immediately or within a short notice period.
- Willing to work Monday–Friday (09:00–18:00) and Saturday half-day (09:00–13:00).
Highly Desirable (Big Plus)
- Hands-on experience in complex system architecture transitions (e.g., Java to Go migration).
- Advanced expertise in transforming traditional engineering workflows into AI-native environments.
- Strong background in project management, technical decision-making, and cross-functional leadership.