Software Engineer (Typescript)
ABOUT CLIENT
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Outsourcing payroll & Staffing
Technical Skills:
Typescript, Backend, Frontend
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Hybrid
Salary:
Negotiation
Job ID:
J01744
Status:
Close
Related Job:
PreSales Solutions Engineer
Ho Chi Minh - Singapore
Product
- System
- Google Cloud
- Presale
PreSales Support: Collaborating with the Sales team to understand client needs and develop tailored solutions using Google Maps and Google Cloud services. This involves conducting technical presentations, product demonstrations, and creating proof of concepts (POCs) for prospective clients, as well as contributing to proposals and RFP responses with detailed technical information. Post-Sales Support: Leading the technical implementation of Google Maps and Google Cloud services, ensuring smooth deployment and integration. Providing ongoing technical support and troubleshooting for clients after implementation, working closely with cross-functional teams to ensure client satisfaction and build long-term relationships. Technical Expertise: Staying up-to-date with the latest Google Maps and Google Cloud technologies, serving as a subject matter expert (SME) for both internal teams and clients. Integrating new features and services into client solutions and providing guidance on best practices. Collaboration: Working closely with Sales, Product, Infrastructure, Data, and Engineering teams to align solutions with client needs and company goals. Mentoring junior team members and contributing to training initiatives.
Negotiation
View detailsTechnical Lead
Ho Chi Minh - Viet Nam
Product
- NodeJS
- Python
Leading the backend development team, providing technical direction, mentorship, and best practices. Designing and implementing scalable, secure, and high-performance microservices-based architectures. Architecting and implementing agentic AI workflows and RAG (Retrieval-Augmented Generation) systems for personalized user interactions and automated coaching features. Overseeing data pipelines and infrastructure required for real-time AI model inference within a microservices-based environment. Collaborating with stakeholders to align on requirements and delivery timelines. Optimizing application performance, monitoring system reliability, and proactively troubleshooting issues. Advocating for CI/CD pipelines, automated testing, and robust version control strategies. Documenting key architectural decisions, APIs, and processes for internal use.
Negotiation
View detailsChief Technology Officer
Ha Noi - Viet Nam
Product
- Cloud
- Backend
Planning & designing overall system architecture: Creating a Technology Roadmap for a Game Server system with high concurrency and low latency for global players. Cost optimization: Deciding on the strategy for using Cloud infrastructure (AWS, GCP, Azure) or Hybrid Cloud to balance performance and operational expenses. High-level consultation: Participating in the Executive Board to address the relationship between speed-to-market of features and system stability. Tech-stack selection: Evaluating and finalizing programming languages (Go, C++, Java, Node.js) and processing models (Microservices vs Monolith) suitable for the complex logic of the game. Scalability solution: Directing the development of Auto-scaling, Load Balancing mechanisms, and managing Player State on large clusters. Data management: Designing Database structure (SQL/NoSQL) and Cache system (Redis, Memcached) to handle billions of queries daily without congestion. Ensuring Uptime: Building real-time monitoring and alerting systems to maintain 99.99% Availability. Network security: Implementing solutions to combat DDoS attacks, game fraud (Anti-cheat), and comprehensive user data security. Infrastructure & CI/CD: Standardizing automatic deployment processes to ensure game updates (Hotfix/Update) do not disrupt players. Deployment strategy & Optimization: Developing plans to optimize Cloud Services costs (AWS/GCP/Azure), evaluating the use of Spot Instances, Reserved Instances, or Private Cloud solutions to save operational budget. Meanwhile, establishing 24/7 monitoring and incident response systems.