Technical Leader (NodeJS)

Senior System Software Engineer - AI Data Platform - Inference Factory

Ho Chi Minh - Viet Nam

Product

• Devops
• C/C++
• Python
• Golang

Develop efficient infrastructure and tools for automating complex software processes. Drive Performance Optimization: Implement advanced test harnesses, benchmarking frameworks, and analytical tools to rigorously characterize and optimize the performance and efficiency of our software and hardware platforms. Apply deep knowledge of operating systems, kernel internals, device drivers, memory management, storage, networking, and high-speed interconnects to build and troubleshoot highly performance systems. Work with engineering teams to understand needs, define requirements, and deliver efficient solutions. Set performance goals, monitor feedback, analyze data, and make continuous improvements for system reliability. Influence Technical Strategy: Contribute to defining technical strategies and roadmaps for our platform automation initiatives, ensuring alignment with company-wide goals and standard methodologies.

Negotiation

Technical Lead (Java)

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

• Java

Lead and offer guidance to a team of backend engineers covering various functional domains. Ensure technical alignment with architectural standards and engineering best practices. Review solution designs, code quality, and implementation approaches, emphasizing clean architecture, resilient microservices, and AI-enhanced development patterns. Assist the team in diagnosing complex technical challenges using traditional analysis and AI-powered debugging or observability tools. Support planning, estimation, and technical decision-making within the engineering team. Design and develop backend services using Java and modern backend frameworks (e.g., Spring Boot). Define and implement microservices-based architecture and API-driven systems. Ensure backend services are scalable, secure, resilient, and maintainable. Drive best practices in backend development, including maintainable system design, automated testing, code quality, API governance, performance optimization, and documentation. Collaborate with DevOps teams to support CI/CD pipelines, incorporate intelligent automation, and ensure stable, secure deployment environments. Integrate AI-assisted development practices into coding, testing, documentation, code reviews, and defect prevention workflows. Design backend systems supporting banking products and financial transaction processing. Build and maintain services related to payments, card processing, financial operations, and core banking functions. Ensure backend implementations comply with financial industry standards and security requirements. Work directly with client stakeholders, architects, and product owners to understand business processes, requirements, and define technical solutions. Participate in architecture discussions and technical workshops with client teams. Communicate technical designs, trade-offs, and solutions clearly to both engineering teams and non-technical stakeholders. Support project delivery by ensuring technical risks are identified and mitigated early.

Negotiation

Featured Job

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

• Data Engineering
• Management

Design, create, and maintain scalable data infrastructure, which includes data lakes, pipelines, and metadata repositories, to ensure accurate and timely delivery of data to stakeholders. Collaborate with data scientists to develop and maintain data models, integrate data sources, and facilitate machine learning workflows and experimentation environments. Build and enhance large-scale, batch, and real-time data processing systems to improve operational efficiency and align with business goals. Use Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services like S3, Glue, EC2, and Lambda to manage data storage and compute resources, striving for high performance, scalability, and cost-effectiveness. Implement comprehensive testing and validation methods to guarantee the reliability, accuracy, and security of data processing workflows. Keep updated on the latest industry best practices and emerging technologies in data engineering and data science to suggest innovative solutions and enhancements.

Negotiation