Senior IT Business Analyst

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(Senior) Embedded Security Engineer – Linux / Android Platforms

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

• Security
• Embedded

#About the Role We are looking for 10 Senior Embedded Security Engineers to design, implement, and validate end-to-end security solutions on modern embedded platforms. This role is open to candidates from multiple domains, including Automotive, IoT, Mobile Devices, and Embedded Systems. If you have hands-on experience securing Linux / Android-based systems, SoCs, or connected devices, and are interested in working on automotive-grade platforms such as Infotainment (IVI) and ADAS, we strongly encourage you to apply. You will work on modern SoC platforms (e.g. Qualcomm, Renesas, TI, Marvell) running Android Automotive, Linux, QNX, or AUTOSAR-based systems, contributing to secure, scalable, and production-ready embedded solutions.# #Main Responsibilities #Security Architecture & Engineering Design and implement end-to-end security features for embedded platforms, including: Secure Boot, Trusted Execution Environments (TEE), Secure storage, Secure update mechanisms, Secure communication, etc... Contribute to security architecture definition for embedded and connected systems. #Threat Modeling & Reviews Perform security architecture reviews and threat modeling for infotainment, ADAS, IoT, or connected device platforms. Identify risks, define mitigation strategies, and drive security improvements early in the development lifecycle. #Security Implementation & Hardening Implement security hardening for Linux / Android / QNX systems. Conduct secure code reviews and collaborate with development teams to address vulnerabilities. Support integration of access control and system hardening mechanisms (e.g. SELinux, AppArmor). #Testing & Validation Perform security testing and validation, including: Static and dynamic analysis, Fuzzing, Penetration testing Validate security features on real hardware and production-like environments. #Process & Compliance Develop and maintain security requirements and security engineering processes (SEP). Support compliance with relevant security standards and best practices.

Negotiation

Senior Java Software Engineer

Ho Chi Minh - Viet Nam

Outsource

• Java

Design, develop, review, implement, and manage Java applications and services for the production and pre-release environments; Design, develop, review, implement, and manage continuous integration, build management and deployment scripts, systems, and any code as required; Participate in Agile software development, prototyping, and code review with international development teams to build scalable microservices-based products and APIs using Java technologies on AWS Cloud architecture; Fully understand the requirements of the customer or business and utilize this knowledge to develop applications that are consistent with this; Work with delivery teams to achieve success through development using CI/CD and DevOps practices, processes, and tooling; Provide robust coding practices, solid unit/component test coverage, and debugging code.

Negotiation

Senior 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

Negotiation