Việc làm cho sinh viên Đại học Tây Nguyên

1. Phân tích và kiểm thử bảo mậtThực hiện pentest cho các hệ thống web, ứng dụng di động, API, mạng nội bộ, hệ thống server và thiết bị IoT (nếu có).Thực hiện đánh giá bảo mật trước khi golive cho các ứng dụng, hệ thống: Đánh giá an toàn mã nguồn, kiểm thử bảo mật cho ứng dụng, đánh giá điểm yếu bảo mật hệ thống.Tham gia triển khai các chương trình/ dự án bảo mật CNTT của Công tyMô phỏng các hình thức tấn công thực tế nhằm phát hiện lỗ hổng bảo mật (OWASP, CVE, CVSS...).Sử dụng các công cụ kiểm thử (Burp Suite, Metasploit, Nmap, Nessus, Kali Linux, Wireshark...) và kỹ thuật tấn công thủ công để đảm bảo độ chính xác cao.Thực hiện social engineering testing hoặc red team exercise theo kế hoạch an ninh định kỳ.Theo dõi các xu hướng bảo mật mới nhất, chủ động đề xuất và thử nghiệm các biện pháp bảo mật mới

We are looking for a skilled Automation Test Engineer to develop and maintain automated testing solutions for our Microsoft Blazor web applications.Your responsibilities will include:Designing, developing, and executing automation test strategies aligned with company goals.Creating and maintaining automated test scripts using Selenium; performing manual tests when necessary.Reviewing software requirements and providing clear, structured feedback to improve quality.Creating and maintaining test cases, test plans, and testing documentation.Identifying, logging, and verifying software defects and working closely with developers for timely resolution.Troubleshooting automation issues and analyzing the root cause of defects.Collaborating with development, QA, and product teams to deliver stable, high-quality releases.Maintaining up-to-date documentation of requirements, designs, test cases, and test processes.Building a strong understanding of our products and business domain to proactively identify quality risks.

1. Mục tiêu công việc: Thực hiện các hoạt động liên quan đến xây dựng và triển khai cơ chế bảo mật dữ liệu, đảm bảo an toàn, tuân thủ và bảo vệ dữ liệu trong suốt vòng đời, theo quy định pháp luật và tiêu chuẩn quốc tế (Nghị định 13/2023/NĐ-CP, ISO 27001, GDPR...).Phối hợp với các đơn vị Quản trị dữ liệu, An ninh thông tin, Rủi ro và Tuân thủ để triển khai hiệu quả các chính sách, quy trình, tiêu chuẩn và công cụ bảo mật dữ liệu trong phạm vi được phân công, góp phần đảm bảo hoạt động quản trị dữ liệu toàn hàng được vận hành liên tục, an toàn và hiệu quả.2. Nhiệm vụ/trách nhiệm chính:i. Thiết kế và triển khai Data Security Framework thống nhất trên toàn tổ chức.ii. Quản lý các hoạt động bảo mật dữ liệu theo vòng đời dữ liệu (data lifecycle):• Phân loại và gắn nhãn dữ liệu (Data Classification & Tagging)• Mã hóa và quản lý khóa (Encryption & Key Management)• Ẩn danh, che dấu dữ liệu (Masking, Tokenization)• Quản lý truy cập và phân quyền (Access Control, IAM, ABAC/RBAC)• Giám sát và phát hiện rò rỉ dữ liệu (DLP, Monitoring, Incident Response)iii. Xây dựng và cập nhật chính sách, quy trình, tiêu chuẩn bảo mật dữ liệu, phối hợp chặt chẽ với các đơn vị IT Security, Data Governance, QTRR và Tuân thủ.iv. Tham gia triển khai, đánh giá và kiểm soát tuân thủ các quy định pháp luật về bảo vệ dữ liệu cá nhân và bảo mật thông tin.v. Đào tạo, nâng cao nhận thức về bảo mật dữ liệu cho các đơn vị kinh doanh và kỹ thuật.vi. Xây dựng báo cáo định kỳ về tình hình an ninh dữ liệu, cảnh báo sớm rủi ro và kế hoạch cải thiện cho Ban Lãnh đạo.

- Design, build, and maintain automation test suites for performance testing and data validation testing.- Collaborate with development and DevOps teams to integrate test automation into the CI/CD pipeline.- Conduct load testing, stress testing, and monitor key system metrics (CPU, Memory, Network, DB performance).- Develop scenarios to compare and validate data across multiple sources (API, DB, file, third-party systems).- Test real-time communication over WebSocket and MQTT to ensure stability, speed, and reliability.- Analyze logs, generate test reports, and provide recommendations for improving performance and data quality.- Contribute to the standardization of test automation processes across projects.- Lead and manage the QA team: assign tasks, review test cases/code quality, and mentor junior members.

About Huenx ASHuenx AS is a Norway-based consultancy specializing in AI-driven business solutions. We combine Norwegian business insight with Vietnamese technical excellence to deliver high-quality AI products and consulting projects for international clients.As we expand our AI team in Vietnam, we are looking for a Senior AI Engineer to work on both internal AI products and customer-facing AI consulting projects. What We Are BuildingAI-powered accounting and automation productsIntelligent assistants (chatbots, email assistants, internal copilots)AI solutions for hospitality systems (PMI, hotel operations, data automation)LLM-based workflows using embeddings, reasoning, and human-in-the-loop feedbackYour ResponsibilitiesDesign and implement production-grade LLM systemsBuild embedding-based retrieval and similarity searchDevelop agent-style or workflow-based AI pipelinesCombine LLM reasoning with deterministic logic for accuracy and auditabilityDeliver AI consulting projects and contribute to internal AI productsWork directly with international customers and teams

About this roleAs a Full Stack AI Engineer, you will develop the user interfaces for and manage the full lifecycles of AI/ML application experiences.About our teamOur global AI, Data & Analytics Division at Renesas is experiencing an increasing demand for AI and Generative AI (LLM) based solutions. Working closely with our business partners, we deliver AI solutions to help drive value for Renesas at a global enterprise scale. We are seeking passionate candidates that will thrive as part of a global team of technologists that love empowering customers, collaborating with teammates, and using the latest AI and Data technologies.ResponsibilitiesBuild and enhance user interfaces and experiences for AI solutions, including front-end and back-end systems and deploying complete applications.Develop and maintain full stack AI/ML applications using Databricks tools and frameworks.Collaborate with data scientists and AI/ML engineers, and domain experts on cross-functional projects using Databricks Workspaces.Keep up to date with the latest developments and trends in AI/ML applications and Databricks technologies.

At MB Life, we believe that AI is the core driver of breakthroughs in the insurance industry and a key enabler for optimizing the way we work. As a Senior AI/ML Engineer, you will be at the forefront of exploring, evaluating, and applying cutting-edge AI technologies from the open-source community and leading global providers to solve real-world business challenges.Your mission is not to build everything from scratch, but to stand on the shoulders of giants—leveraging the power of pre-trained models, cloud-based AI platforms, and open-source solutions to deliver value quickly, from enhancing customer experiences to automating and accelerating internal software development processes.Key Responsibilities1. Research, Experimentation, and Integration of AI Solutions:Proactively research and evaluate AI models, libraries and cloud-based AI services to identify the most suitable technologies for each use case.Rapidly build Proof-of-Concept (PoC) prototypes to validate the feasibility and effectiveness of AI solutions before large-scale deployment.Design system architectures and directly integrate AI solutions into the company’s existing systems (Java backend, Flutter/Dart applications) via APIs. This includes writing and testing code to connect AI models or services to our applications, and supporting the development of a Model Context Protocol (MCP) Server to enable AI systems to safely interface with external tools and data sources2. Process Automation and Optimization with AI:Analyze the Software Development Lifecycle (SDLC) and propose AI-driven tools (e.g., AI Copilots, AIOps, AI for Testing) to improve efficiency and quality.Contribute to internal solutions using retrieval-augmented generation (RAG) techniques to make the company’s knowledge bases (Jira, Confluence, other documentation) more accessible and useful for employees.Implement CI/CD pipelines for continuous integration and delivery of AI services, ensuring that new model versions and data updates can be rolled out efficiently. Monitor the performance, accuracy, and cost of AI systems in production (using logging, monitoring, and tracing frameworks) to detect issues or model drift early, and establish guardrails (governance policies, access controls, ethical AI guidelines) to ensure solutions are secure, compliant, and aligned with responsible AI practices.Implement N8N workflow automation platform to resolve business requirement

About Us Established in 2009, Floating Cube Studios - EPOS Vietnam serves as the technical hub of EPOS Singapore, a leading provider of cutting-edge Point-of-Sale (POS) and SaaS solutions. Backed by Ant International — a global leader in digital payments and financial technology — we play a pivotal role in developing innovative, scalable, and user-centric digital solutions that power EPOS products. Our technologies enable thousands of SMEs in Singapore, and with ongoing expansion plans across Asia, to digitize and grow their operations through cost-effective and reliable platforms.  At Floating Cube Studios - EPOS Vietnam, we cultivate a collaborative and dynamic culture driven by innovation and a passion for transforming businesses through technology. Join us to shape the future of digital solutions across Asia and beyond! Key ContributionsWrite clean, well-tested, and maintainable code, adhering to established coding standards and best practices.Ensure component optimization for consistency and performance across all systemsEnhance system reliability and performance through ongoing optimization.Identify, diagnose, and resolve system bugs to maintain stability and efficiency.Establish methodologies and define metrics for system monitoring and performance tracking.Develop and maintain unit tests to prevent regression and ensure code quality.Collaborate with team members to understand business requirements and develop applications.Collaborate with cross-functional teams to design, develop, and deliver new features.Share technical knowledge and best practices with the broader engineering team.Participate in code reviews, offering constructive feedback and ensuring adherence to coding standards.Contribute to and lead the ongoing evolution of the microservices architecture, focusing on ensuring scalability, reliability, and long-term maintainability.

About this roleAs a Full Stack AI Engineer, you will develop the user interfaces for and manage the full lifecycles of AI/ML application experiences.About our teamOur global AI, Data & Analytics Division at Renesas is experiencing an increasing demand for AI and Generative AI (LLM) based solutions. Working closely with our business partners, we deliver AI solutions to help drive value for Renesas at a global enterprise scale. We are seeking passionate candidates that will thrive as part of a global team of technologists that love empowering customers, collaborating with teammates, and using the latest AI and Data technologies.ResponsibilitiesBuild and enhance user interfaces and experiences for AI solutions, including front-end and back-end systems and deploying complete applications.Develop and maintain full stack AI/ML applications using Databricks tools and frameworks.Collaborate with data scientists and AI/ML engineers, and domain experts on cross-functional projects using Databricks Workspaces.Keep up to date with the latest developments and trends in AI/ML applications and Databricks technologies.

1/ Build Intelligent Models That Drive the Business Design, train, and deploy ML models across key use cases: customer segmentation, churn prediction, CLV estimation, propensity scoring, recommendation engines, anomaly/fraud detection, and more. Architect scalable modeling pipelines and experiment rigorously to ensure reliability, accuracy, and performance in production.2/ Deep-Dive Analytics at Scale Explore and analyze massive customer datasets to uncover behavioral patterns, trends, and drivers of engagement. Translate exploratory insights into actionable strategies that elevate customer experience and loyalty performance. 3/ Partner Across the Business Collaborate with Product Owners, Loyalty teams, Marketing, and airline business units to scope analytical needs and define data-driven solutions. Present insights and recommendations that inform strategic and operational decision-making. 4/ Experimentation & Optimization Build and maintain A/B testing frameworks to evaluate the effectiveness of ML models and interventions. Analyze experiment outcomes, identify lift, and optimize strategies across customer touchpoints. 5/ Production-Ready Machine Learning Work closely with Data Engineers to prepare high-quality features, streamline pipelines, and deploy models into operational systems. Monitor long-term model performance, manage drift, and retrain to maintain relevance and accuracy. 6/ Technical Communication & Leadership Simplify complex ML concepts for both technical peers and non-technical stakeholders. Potentially mentor junior Data Scientists/Analysts as the team grows. Stay current with emerging ML/AI technologies and proactively introduce new approaches to enhance the team’s capabilities.

Design, develop, and maintain scalable and efficient software applications using .NET framework. Collaborate with business stakeholders and technical teams to gather requirements and define the scope. Participate in the full software development lifecycle, including requirements analysis, design, coding, testing, and deployment. Implement clean, maintainable, and reusable code following best practices and coding standards. 

- Statistics, tracking daily production output

- Ensure goods are delivered to the warehouse on time as planned

- Prepare reports and analyse on production performance and efficiency

- Check all the RM requisitions/ supplement from production on BPM and forms

- Monitor inventory levels of raw materials and finished products to ensure continuous production

- Other tasks as assigned

As a Senior Quality Controller, you ensure product integrity across diverse platforms (Web, Mobile, API) by combining rigorous testing methodologies with AI-driven efficiency.Hands-on Testing Execution: Take ownership of the testing lifecycle on various projects. Execute Functional, Smoke, Regression, UI/UX, and Integration tests on Web, iOS, and Android platforms to ensure zero critical bugs.AI-Enhanced QC Process: Modernize QC process by using AI tools to automate test case generation, create detailed user scenarios, and analyze test results, shifting focus from manual repetition to intelligent oversight.Use Case Mastery: Translate complex requirements into exhaustive test cases and use cases, ensuring every user interaction and edge case is covered before development ends.Process & Tools: Track bugs meticulously using Jira (primary tool). Analyze root causes to propose process improvements and prevent recurrence.Lead & Collaborate: Coach junior members on testing best practices and AI adoption. Partner with the Product Development team from sprint planning to release, ensuring quality is built-in from the start.

- Nhận hàng NCC giao. Kiểm đếm và báo cáo số lượng hàng hóa nhận được.
- Theo dõi số lượng hàng hóa trong kho.
- Soạn hàng, biết đóng hàng khi cần. Có thể đi theo xe tải giao hàng nội ô HCM.
- Biết sắp xếp hàng hóa hợp lý, hiệu quả. Đảm bảo kho sạch sẽ. ngăn nắp.
- Các công việc khác theo yêu cầu.
- Mặt hàng: Máy móc và phụ kiện bao bì.

The Senior Software Developer plays a critical role in driving the design, development, and implementation of enterprise systems that support Dai-ichi Life Vietnam’s digital transformation strategy. This role combines deep technical expertise, architectural thinking, and a hands-on approach to building secure, scalable, and high-performance software solutions.The developer is expected to work closely with cross-functional teams — including Business Analysts, QA Engineers, Architects, and Product Manager, Business User — to deliver reliable systems aligned with business objectives. Beyond coding, this position involves technical leadership, mentoring, and continuous improvement in software engineering practices for the team  Analyze the business specs then prepare technical specs and develop the new systems or enhance existing system for supporting business needs.Support the team leader on technical analysis to provide the best technical solution as well as support colleagues for solving technical issues to complete the assigned projects / tasks on timely manner.Investigate and answer daily enquiries on systems functional as well as problem encountered in order to resolve it in timely manner.In charge of unit test on enhancements / new development under responsibility to ensure developed modules are matched with business requirements.Assist users/team leader on building test scripts to cover all test cases.

Thời gian làm việc: Xoay ca sáng chiều
Mức lương: Thỏa thuận theo năng lực và kinh nghiệm
• Đón tiếp, làm thủ tục check-in, check-out cho khách
• Hỗ trợ và giải đáp thắc mắc trong suốt thời gian khách lưu trú
• Quản lý đặt phòng, cập nhật thông tin khách hàng
• Phối hợp cùng các bộ phận khác để đảm bảo chất lượng dịch vụ tốt nhất

Work with the global QA Practice Head to define, and lead the QA strategy across all engineering teams, ensuring best practices are implemented.Drive continuous improvements in QA processes, testing methodologies, and tools.Define and track quality-related KPIs, taking actions to improve efficiency and effectiveness. Communicate metrics and insights to leadership, providing clear updates on progress and challenges.Oversee manual, automated testing processes, monitoring, alerting, and incident management practices to ensure system reliability.Mentor a team of around 20 QA engineers, fostering career development. Provide hands-on guidance and mentorship to them, helping them stay updated with industry trends and technologies. Develop training and learning paths for the team to enhance their testing skills and capabilities.Work closely with product, engineering, and operations teams to ensure alignment on quality goals. Cultivate a culture of accountability and excellence within the QA team.

About UsAs a global player in the SaaS automotive landscape, Titan Dealer Management Solutions (Titan DMS) employs over 165 staff worldwide and has a SaaS presence in more than 26 markets. Titan is recognised as one of the leading providers of technologically driven solutions for automotive dealers and manufacturers globally.Since 2009, Titan’s flagship product, the Titan Dealer Management System (Titan DMS), has been adopted by franchised automotive dealerships representing over 45 automotive brands across Australia, Asia, the Pacific, the Middle East, the UK, Africa, and Europe. Titan continues to expand its global footprint, solidifying its reputation as a leading international software provider. About the RoleLead Innovation. Shape the Future. Drive Global Impact.Are you a visionary technology leader ready to transform an entire industry? Do you thrive on building high-performing teams, driving innovation, and using technology to solve meaningful, complex challenges? If so, this is your opportunity to leave a lasting mark.At Titan, we are on a powerful growth journey — expanding globally, scaling our technology, and delivering world-class digital solutions to customers across multiple countries. We’re looking for an inspiring Chief Technology Officer (CTO) to join our Executive Leadership Team and shape the future of our technology ecosystem.This is a rare chance to play a pivotal role in redefining how we innovate, how we deliver value to customers, and how our technology underpins the next chapter of Titan’s success. Why This Role is an Exciting OpportunityAs our CTO, you will:Set the technological vision that guides an international SaaS organisation.Lead digital transformation initiatives that streamline operations and unlock new revenue streams.Inspire and mentor talented technology teams across multiple countries.Bring cutting-edge ideas to life, keeping Titan ahead of industry trends.Represent Titan as a trusted technical authority in customer engagements.Shape a culture of innovation, excellence, and continuous improvement.Your impact will be visible, meaningful, and deeply valued across the entire organisation. What You'll Lead & DeliverTechnology Vision & Strategy: Define and drive a clear, future-focused technology roadmap aligned to Titan’s goals, championing digital transformation and embedding security in every decision.Innovation & Competitive Advantage: Foster a culture of innovation by identifying and implementing emerging technologies that keep Titan ahead of the market.Infrastructure & Architecture: Build and maintain scalable, secure, and high-performing systems that support our growth and deliver operational excellence.Product Development: Lead customer-centric product management and software development, ensuring high-quality, on-time delivery and intuitive user experiences.Cybersecurity & Data: Oversee robust cybersecurity, compliance, and data strategies to protect Titan’s assets and enable intelligent, data-driven decisions.Vendor, Budget & Resources: Manage technology partners, optimise budgets, and allocate resources effectively to maximise impact and value.Performance & Stakeholder Engagement: Track the success of technology initiatives and communicate progress to executives, boards, investors, customers, and teams.Leadership & Collaboration: Inspire high-performing teams, promote agile ways of working, break down silos, and cultivate a culture of excellence, trust, and continuous improvement.