Technical Leader (NodeJS)
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Product
Technical Skills:
NodeJS, Data Engineering
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Job ID:
J01011
Status:
Close
Related Job:
Head of Engineering
Da Nang - Viet Nam
Product
- NodeJS
- NestJS
- ReactJS
- Typescript
- AWS
- AI
Develop and communicate the engineering strategy, technical roadmap and priorities that align with product goals, customer outcomes and regulatory obligations. Assume responsibility for various aspects of the engineering process including discovery, estimation, architecture, development, testing, release, production support, incident response and continual improvement. Establish and build the engineering organisation by defining team structure and roles, participating in hiring, coaching and retaining engineers, and creating clear expectations and development paths. Lead internal engineers and oversee external engineering delivery partners to ensure agreed outcomes, quality standards, security requirements, and delivery commitments are met. Maintain a strong technical understanding to challenge designs, lead architecture and code reviews, resolve complex issues, and make informed decisions. Establish and enforce engineering standards for secure software development, code quality, automated testing, release management, and technical debt reduction. Assume responsibility for production reliability and operational readiness, including observability, capacity, availability, performance, incident management, and root-cause remediation. Integrate security and privacy into the engineering process, including encryption, auditability, secrets management, vulnerability remediation and data minimization. Collaborate with other teams to shape requirements, manage trade-offs, communicate risk and provide transparent delivery forecasts. Define measurable engineering objectives and own responsible AI adoption across various areas. Evaluate AI-enabled product opportunities and manage engineering suppliers and technology vendors. Contribute to budgeting, forecasting and prioritization, ensuring engineering expenditure produces measurable business value.
Negotiation
View detailsManager, Technical Development Advisory
Ho Chi Minh - Viet Nam
Product
- L&D/OD
Work with experts to create technical learning solutions for addressing skill gaps and supporting capability development. Manage the administration and optimization of learning management systems and related platforms for effective content delivery and a good learner experience. Take charge of program management for training initiatives, including needs analysis, design, development, delivery coordination, and evaluation. Collaborate with the Head of Technical Development Advisory and senior stakeholders to align learning initiatives with strategic priorities and transformation objectives. Implement and monitor quality assurance processes to uphold high standards across all learning content and delivery. Develop and report on key performance metrics, learning analytics, and program effectiveness to drive continuous improvement. Coordinate with regional and global teams to ensure consistent learning experiences across multiple locations.
Negotiation
View detailsData and Insights Manager
Ho Chi Minh - Viet Nam
Product
- Data Analyst
- Business Intelligence
- Data Science
- Machine Learning
Oversee the data and information system to ensure adequacy, accuracy, and legitimacy of data products such as reports, insights, analytics tools, and models. Implement and oversee data governance and policies. Communicate data visions and strategies across functions and business units. Anticipate upcoming trends and business demands to propose impactful data deliverables. Oversee the pipeline to deliver high-quality, timely, and useful data to enable data usability, availability, and efficiency on the Information System (BI, Reportings, Dashboard). Ensure excellence in performing data ad-hoc requests. Identify analytics opportunities to support the growth of the organization. Develop analytics capacities through data and data science techniques, mastering knowledge about customers, products, and the business. Drive data-empowered innovations through ML/AI to improve the efficiency and quality of business and products. Raise awareness of the potential application of ML/AI. Provide data, ML/AI learnings, and strategic input to business visions and projects. Design the framework of AI/ML building, testing, and deployment at a large scale. Ensure the quality and efficiency of ML/AI deliverables.