Middle/Senior Manual QA (QA QC, Agile)

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(Senior) Embedded Security Engineer – Linux / Android Platforms

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

• Security
• Embedded

Security Architecture & Engineering: Design and implement security features for embedded platforms, contribute to security architecture definition, and perform security architecture reviews and threat modeling. Security Implementation & Hardening: Implement security hardening for Linux / Android / QNX systems, conduct secure code reviews, and support integration of access control and system hardening mechanisms (e.g. SELinux, AppArmor). Threat Modeling & Reviews: Identify risks, define mitigation strategies, and drive security improvements early in the development lifecycle. Testing & Validation: Perform security testing and validation, and ensure compliance with relevant security standards and best practices.

Negotiation

Senior Java Software Engineer

Ho Chi Minh - Viet Nam

Outsource

• Java

Plan, create, assess, implement, and oversee Java applications and services for production and pre-release environments; Plan, create, assess, implement, and supervise continuous integration, build management and deployment scripts, systems, and coding as necessary; Engage in Agile software development, prototyping, and code review with global development teams to construct scalable microservices-based products and APIs using Java technologies on AWS Cloud architecture; Have a thorough understanding of customer or business needs and use this insight to develop applications aligned with those requirements; Collaborate with delivery teams to accomplish development success through CI/CD and DevOps techniques, procedures, and tools; Deliver robust coding practices, thorough unit/component test coverage, and code debugging.

Negotiation

Senior AI Engineer

Ho Chi Minh - Viet Nam

Product

• Python
• AI
• Machine Learning

Develop and deploy AI/ML systems for banking applications on AWS with a focus on reliability, scalability, and performance. Maintain MLOps pipelines using AWS services, including model versioning, monitoring, and automated retraining workflows. Utilize AI solutions for various banking use cases, such as fraud detection, customer relationship mapping, and network analysis. Troubleshoot production AI systems and resolve issues in model performance, data pipelines, and AWS infrastructure. Implement automated monitoring, alerting, and incident response for AI systems on AWS and optimize model serving infrastructure. Build and maintain 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 regulations and security standards in all AI deployments and monitor model performance in production. Stay updated with the latest AI research and evaluate its 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.

Negotiation