Remote Senior Full-stack Developer (Nodejs,Reactjs)
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Product & Outsourcing
Technical Skills:
NodeJS, ReactJS
Location:
Ho Chi Minh, Ha Noi, Da Nang, Others - Viet Nam
Working Policy:
Salary:
Negotiation
Job ID:
J01276
Status:
Close
Related Job:
.NET Engineer
Ho Chi Minh - Viet Nam
Product
- .NET
- ReactJS
- Angular
Take an active role in shaping requirements: Partner with stakeholders to understand their needs and translate them into effective technical solutions. Craft clean, scalable, and maintainable code: Build robust and high-performance applications using .NET languages, adhering to best practices and design patterns. Ensure quality through rigorous testing: Write comprehensive unit and integration tests, and participate in testing and debugging efforts to maintain high quality standards. Contribute to continuous improvement: Review, refactor, and maintain existing code to optimize performance and ensure long-term code health. Document your work effectively: Create clear and concise technical documentation to support ongoing development and maintenance. Collaborate effectively within a cross-functional team: Work closely with engineers, product managers, designers, and testers to achieve shared goals.
Negotiation
View detailsFull-stack Lead (Android, Java)
Ho Chi Minh, Ha Noi - Viet Nam
Outsource
- Android
#Role Summary Lead the design and development of high-quality Android applications for banking projects in an Agile/Scrum environment Own the technical architecture and provide hands-on leadership across the full development lifecycle, from solution design to production deployment Drive scalable, secure, and high-performance mobile solutions aligned with modern Android best practices and enterprise standards Act as the technical authority for the Android domain, guiding the team on architecture, coding standards, and engineering excellence Contribute to backend/service integration and support end-to-end solution delivery as a full-stack Android technical leader when required Actively leverage AI tools to improve team productivity, code quality, testing coverage, and technical documentation Collaborate closely with cross-functional stakeholders, Solution Architects, and Delivery Leadership while mentoring and growing the Android engineering team#Key Activities Define and own the mobile architecture, technical roadmap, and engineering standards for Android applications Lead the design and development of complex, enterprise-grade Android solutions using Kotlin and Java Provide hands-on contribution to critical features, technical spikes, performance optimization, and integration layers Drive the adoption of Clean Architecture, MVVM, Jetpack Compose, and modularization strategies Review and approve technical designs, pull requests, and implementation approaches Ensure seamless integration with backend services, APIs, and external enterprise platforms Contribute to API design discussions and support backend collaboration for end-to-end delivery Establish and enforce best practices for code quality, testing strategy, CI/CD, and release management Identify technical risks, propose mitigation plans, and support delivery planning and estimations Coach and mentor Android developers, conduct technical training, and support career development Work closely with Product Owners, Scrum Masters, QA, DevOps, and Architects to ensure successful delivery
Negotiation
View detailsSenior AI Engineer
Ho Chi Minh - Viet Nam
Product
- Python
- AI
- Machine Learning
We're seeking an AI Engineer with strong academic foundations and deep technical expertise who excels at translating research into production banking systems. This role is 80% focused on engineering excellence-deploying models, optimizing infrastructure, ensuring reliability, and solving real-world implementation challenges-and 20% on staying current with cutting-edge AI research and emerging technologies. You'll bridge the gap between state-of-the-art AI research and scalable production systems in the financial services sector.#AI Engineering & Deployment (80%) Design, build, and deploy production-ready AI/ML systems on AWS with focus on reliability, scalability, and performance for banking applications Implement and maintain MLOps pipelines using AWS services (SageMaker, Bedrock, Lambda, Step Functions) including model versioning, monitoring, and automated retraining workflows Build and optimize AI solutions using AWS Bedrock, OpenAI API, and Gemini API combining with Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol for various banking use cases Design and implement prompt engineering frameworks and prompt management systems for LLM-based applications Develop graph analysis solutions for fraud detection, customer relationship mapping, and network analysis in banking contexts Debug and troubleshoot production AI systems, identifying and resolving issues in model performance, data pipelines, and AWS infrastructure Build and maintain AIOps practices including automated monitoring, alerting, and incident response for AI systems on AWS Optimize model serving infrastructure for latency, throughput, and cost-efficiency using AWS services Implement robust data pipelines using AWS Glue, Kinesis, and related services for training and inference Collaborate with software engineering and risk teams to integrate AI capabilities into banking products and services Ensure compliance with banking regulations and security standards in all AI deployments Monitor model performance in production and implement drift detection and retraining strategies#AI Research & Innovation (20%) Stay current with latest AI research papers and breakthroughs, evaluating applicability to banking and financial services Research and prototype emerging AI architectures and techniques for financial use cases Evaluate new paradigms in model training, inference optimization, and architectural innovations Share knowledge through technical discussions, paper reviews, and internal research presentations Identify opportunities to apply cutting-edge research to improve fraud detection, customer service, risk assessment, and other banking operations