Technical Architect/Tech Lead (NodeJS)
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
outsourcing, US company
Technical Skills:
NodeJS, Cloud
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Salary:
Negotiation
Job ID:
J01530
Status:
Close
Related Job:
Technical Team Lead (.NET, ReactJS)
Ho Chi Minh - Viet Nam
Outsource
- .NET
- ReactJS
Develop and maintain high-quality, scalable applications using .NET (C#) and JavaScript (ReactJS) Act as a hands-on technical contributor while leading and managing a small development team (3-4 members), ensuring effective task allocation, delivery, and technical guidance. Collaborate with Product Owner, Development Lead, and other developers to define and deliver product increments. Develop and maintain applications, ensuring code quality and scalability. Implement and optimize continuous integration and continuous delivery (CI/CD) processes using tools like Azure DevOps, Jira and JFrog Artifactory. Utilize tools like SonarQube and Github CodeQL for static code analysis to ensure software security and quality. Design, develop, review, implement, maintain and manage continuous integration, build management and deployment scripts, systems, and any code as required; Write unit tests and run through all the test cases for assigned tasks and ensure all cases are tested and passed before release for testing. Participate in Agile/Scrum activities: daily standup, demo session, retrospective, estimate, and planning, etc Provide mentoring/training for junior members if any Perform other tasks assigned by the Line Manager.
Negotiation
View detailsSenior Software Engineer (Data Management, Data Lake)
Ho Chi Minh - Viet Nam
Product
- Data Engineering
- Cloud
- Java
- Typescript
- Angular
We are looking for a seasoned Senior Data and Full-Stack Engineer to join our team. In this role, you will not only design and build high-performance, resilient data architectures but also craft scalable solutions that integrate seamlessly with microservice-based application ecosystems. Your expertise will span across data engineering and full-stack development, enabling you to deliver end-to-end solutions that power our platform. You will own critical design deliverables-both high and low level-including ERDs, logical and physical models, and architectural reviews. Beyond architecture, you will actively contribute to building robust services and APIs that leverage data for automation, customer experience optimization, and innovative product development. As Company continues to grow and data volumes surge, your ability to harness this data and translate it into actionable insights and advanced solutions will be pivotal to our success.#Your key responsibilities as a Senior Data & Full-stack Developer will include: Drive and design future-proof data architectures, strategically aligning data systems with business objectives to ensure efficient and scalable data management. Architecting conceptual, logical, and physical architecture and data models for operational enterprise data and analytics solutions using recognised data modelling approaches Collaboration with project teams to ensure architectural principles are met, and build and act as a change agent Build container-based big data architectures on top of Kubernetes Design and implement large and complex data solutions (Data Warehouse, Data Lake, Data Analytics) using various architectural patterns such as microservices Develop and understand the enterprise data landscape and map data stores and flows between the operational systems for our microservice approach Implementing the feature with high-performance, scalable, and testable components for our architecture and execute its development. Developing and deploying modern architectural patterns/techniques (microservices, DDD, TDD), including developing using modern frameworks, e.g. Spring Boot, Spring Cloud Developing and deploying modern frontend microservices, enrich DM Storybook using the latest Angular version. Develop RESTful APIs and microservices-based solutions leveraging containers (AKS, Kubernetes, Docker) technologies#General Create robust data architecture to manage data efficiently and effectively Define the data strategy and the key principles associated with it Develop and understand the enterprise data landscape and map data stores and -flows between the operational systems for our micro-service approach The role is varied and there are opportunities to become involved in activities across all parts of the business
Negotiation
View detailsDirector Engineering – Software Engineering and AI Inferencing Platforms
Ho Chi Minh, Ha Noi - Viet Nam
Product
- Management
- Backend
- Devops
- Data Engineering
- Cloud
- AI
Lead and expand engineering teams in Vietnam across system software, data science, and AI platforms. Drive the creation, structure, and delivery of high-performance system software platforms that support AI products and services. Collaborate with global teams across Machine Learning, Inference Services, and Hardware/Software integration to guarantee performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship services. Collaborate with open-source and enterprise data and workflow ecosystems to advance accelerated AI factory, data science, and data engineering workloads. Promote continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Work with product management and other stakeholders to ensure enterprise readiness and customer impact. Establish and implement standard processes for large-scale, distributed system testing including stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.