Việc làm cho sinh viên Đại học Trưng Vương

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 efficient, reusable, and reliable Go code. Develop and manage RESTful APIs and microservices. Write clean, testable code and perform unit and integration testing to ensure software quality. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot, debug, and upgrade existing systems. Participate in code reviews to maintain high standards of code quality. Contribute to the improvement of our CI/CD pipeline and development processes

Tham gia phân tích, thiết kế và xây dựng các dự án phần mềm của công ty. Phát triển, nâng cấp và tối ưu các ứng dụng web hoặc hệ thống nội bộ sử dụng .NET Framework / .NET Core. Phối hợp với team BA, QA, Frontend và DevOps trong toàn bộ vòng đời phát triển sản phẩm. Tham gia review code, đóng góp ý kiến cải thiện kiến trúc hệ thống và quy trình phát triển. Phát hiện, khắc phục lỗi và tối ưu hiệu năng hệ thống trong quá trình vận hành. Nghiên cứu, cập nhật và áp dụng các công nghệ mới (Microservices, Cloud, Containerization, .NET 8...) để nâng cao hiệu suất sản phẩm. Tham gia vào các buổi họp kỹ thuật nhằm chia sẻ kiến thức và cải tiến quy trình phát triển phần mềm

This position is for Senior Frontend Developers (ReactJS) to join our CodeHQ Vietnam team in HCMC (Quan 12). The initial project will be for CodeHQ’s client, a New Zealand-based Sustainability SaaS provider delivering cloud-native carbon accounting and building-optimisation software across Australia and New Zealand. You will be working on a web application that will require strong ReactJS skills. Experience with cloud technologies will also be advantageous. 

Working on Web and Mobile products for a diverse range of clients and industries.Working and pair programming with other developers to build applications with Python/Node.js and ReactJS.Designing & implementing back-end API using Python/Node.JSWorking with the Product Owner to convert business requirements into technical designs.Cooperating with the UI Designer to implement modern minimalist designs into production.Applying proven technologies and best practices to level up your technical skills: NestJS, ReduxLearning new languages and frameworks to improve yourself and stay current in an ever-changing environment.

We are seeking an experienced and visionary Data Science Manager to lead our cross-functional Data Science & AI team. You will be responsible for shaping our data-driven product strategy, building advanced machine learning models, deploying AI Assistants, and enabling real-time analytics and flexible reporting across our key verticals: Digital Banking, eWallet, SmartPOS, Payment Gateway, Insurance, and SME Platforms.🔹 Leadership & StrategyBuild, lead, and mentor a high-performing team of data scientists, ML engineers, and data analysts.Drive the overall data and AI strategy in alignment with business goals and product roadmaps.Collaborate with C-level executives, Product, Engineering, and Business Units.🔹 Data Platform & ArchitectureOversee design of scalable, cloud-native data platforms (DWH, Lakehouse, Real-time streaming).Ensure strong data governance, MDM, privacy compliance (e.g., GDPR, PDPD).Implement flexible analytics & self-service BI tools for internal teams and customers.🔹 Machine Learning & AILead development of predictive models for credit scoring, fraud detection, recommendation engines, and personalization.Build and deploy AI Assistants for customer service, internal operations, and financial advisory.Monitor model performance, fairness, and accuracy at scale.🔹 Product DomainsEnable data-driven insights across Digital Banking, SmartPOS, eWallet, and SME platforms.Integrate analytics into Payment Gateways, Loan engines, Insurance platforms, and Merchant tools.Collaborate in shaping AI-first financial products.🔹 Reporting & AnalyticsDevelop flexible reporting systems (dashboarding, real-time KPIs, drill-downs).Drive adoption of tools such as Tableau, PowerBI, Metabase, Looker, or open-source alternatives

About usBy reinventing the old industry with new technology’s power, RAKSUL is delivering satisfaction and happiness to customers every day with global offices in Japan, Vietnam, and India. We have developed various products based on e-commerce platforms, whether they are incubation, growth-phase products, or long-term core business products.We are looking for comrades to create great products in HCMC office together! Key responsibilitiesYour mission is to ensure a top-tier service level for our system and develop a technical strategy that enhances business outcomes and streamlines the operation of our e-commerce platform. You will work closely with Product Managers, Business Development, and Customer Support teams.Leveraging your solid cooperation skills with various stakeholders and identifying product specifications for an optimal customer experience, you will design system interfaces and databases. This will enable your team's software engineers to deliver top-tier performance and ensure consistent operations.Provide technical solutions and prioritize tasks in alignment with the business and product roadmaps.Respond promptly to inquiries from customer support and address troubleshooting needs.Design interfaces and databases to support new platform integrations.Ensure Service Level Objectives (SLO) for product quality, high availability, and high throughputImplement and review code with your team members.Offer guidance and mentoring to junior and new team members.Foster strong relationships with all project stakeholders. 

Chúng tôi đang tìm kiếm Senior Site Reliability Engineer (SRE) có kinh nghiệm chuyên sâu trong việc triển khai, vận hành và tối ưu hệ thống database trên môi trường Kubernetes (K8S).Bạn sẽ đóng vai trò quan trọng trong việc đảm bảo hạ tầng dữ liệu luôn ổn định, hiệu năng cao, có khả năng mở rộng, và được giám sát chủ động thông qua hệ thống quan sát (observability) hiện đại.Trách nhiệm chínhNghiên cứu, triển khai, quản trị và tối ưu các database systems (PostgreSQL, Kafka, Opensearch, Redis, v.v.) trên Kubernetes.Vận hành, tối ưu và mở rộng hệ thống Kubernetes cluster.Thiết lập và quản lý các monitoring & alerting systems như Prometheus, Alertmanager, Grafana, ELK, v.v.Define và tinh chỉnh metrics, alert thresholds, SLO/SLA, error budgets cho các dịch vụ database và hạ tầng quan trọng.Tham gia xử lý sự cố (incident response), điều tra nguyên nhân gốc rễ (root cause analysis) và thực hiện post-mortem để tăng độ tin cậy hệ thống.Tự động hóa quy trình vận hành (backup, failover, scaling, recovery, patching, CI/CD, etc.).Xây dựng, chuẩn hóa runbook / playbook / documentation giúp đội ngũ phản ứng nhanh và hiệu quả trong tình huống khẩn cấp.Phối hợp cùng team phát triển để cải tiến các sản phẩm database/big data. 

We are seeking a highly motivated Product Owner with solid experience in IT solution development. In this role, you will bridge the gap between business stakeholders and the engineering team, ensuring that digital transformation solutions (enterprise applications, fintech, ERP, or SaaS platforms) are well-defined, prioritized, and successfully delivered. You will be responsible for shaping the product vision, translating requirements into actionable user stories, and driving the product lifecycle from ideation to release• Work with stakeholders to gather business requirements, understand customer needs, and transform them into product features and specifications.• Conduct market and competitor analysis to identify opportunities for product innovation in IT solutions.• Define and maintain the product roadmap and ensure alignment with company strategy and client objectives.• Manage and prioritize the product backlog, ensuring requirements are clear, feasible, and aligned with business goals.• Write detailed user stories and acceptance criteria to guide development teams.• Collaborate with engineering, design, QA, and operations teams to deliver high-quality IT solutions (e.g., ERP, payment systems, integration platforms).• Lead and facilitate Agile ceremonies: sprint planning, backlog grooming, daily stand-ups, and retrospectives.• Monitor and analyze product performance metrics (adoption, retention, ROI) and recommend improvements.• Support solution deployment, training, and documentation for end users and partners.• Act as the voice of the client during product discussions, ensuring solutions deliver tangible business value.

Infrastructure Management:Design, develop, and maintain robust and scalable data pipelines to handle large datasets using both on-premise and cloud platforms (e.g., AWS, GCP, Azure).Implement and manage data storage solutions, including databases and data lakes, ensuring data integrity and performance. Data Integration:Integrate data from various internal and external sources such as databases, APIs, flat files, and streaming data.Ensure data consistency, quality, and reliability through rigorous validation and transformation processes. ETL Development: Develop and implement ETL (Extract, Transform, Load) processes to automate data ingestion, transformation, and loading into data warehouses and lakes. Optimize ETL workflows to ensure efficient processing and minimize data latency. Data Quality & Governance: Implement data quality checks and validation processes to ensure data accuracy and completeness. Develop data governance frameworks and policies to manage data lifecycle, metadata, and lineage. Collaboration and Support: Work closely with data scientists, AI engineers, and developers to understand their data needs and provide technical support. Facilitate effective communication and collaboration between the AI and data teams and other technical teams.Continuous Improvement:Identify areas for improvement in data infrastructure and pipeline processes.Stay updated with the latest industry trends and technologies related to data engineering and big data

Involving in data science/AI projects from beginning to delivery. Analyzing, proposing, developing, and evaluating solutions to solve our clients’ business problems.Collaborating with our PMs or other stakeholders to define project plan/ roadmap.Collecting, cleaning, and preparing datasets for modeling.Deploying and monitoring the AI systems. Continuously learning to keep up with the rapid changes in the field of AI.

Design and maintain System Test strategy, scenarios, and automation for Fraud microservices.Implement and execute System Tests on CI/CD pipelines (Harness/Jenkins) integrated with NEF.Develop and maintain test automation frameworks.Create, maintain, and verify mocks/stubs (WireMock) to simulate upstream/downstream dependencies.Collaborate closely with Developers, QEs, and BAs to validate system behavior and resolve integration issues.Monitor and analyze System Test execution results, logs, and metrics to identify root causes and trends.Maintain test artefacts (test cases, runbooks, reports) and ensure alignment with platform standards.Support knowledge sharing across team members.Promote and apply shift-left testing strategies throughout the development lifecycle.

Bạn sẽ tham gia vào việc phát triển và duy trì các dịch vụ của chính chúng tôi Phát triển các dự án mới tại Nhật Bản Phát triển Back-end, Front Web Định nghĩa yêu cầu / thiết kế / phát triển Back-end / bảo trì / vận hành, v.v

JOB PURPOSE:  As a Senior Data Engineering, you will be responsible for: Analyze statistics, data, and algorithms for projection accuracy for the deployed data model. Create, maintain, and design relational databases to support enterprise application and physical data modelling according to project requirements for data acquisition and security as well as customer-defined deliverables.Develop strategies for data modelling, design, and implementation to meet stated requirements for Metadata management, Operation Data Stores, Data Lake, Data Warehouse, Data Marts and Extract Transform Load environments in batch processing, and real-time injection. Review existing data architectures to determine overall effectiveness and compliance with determined objectives, develop comprehensive strategies for improving or replacing underperforming areas, and come up with plans to execute these solutions. Create and test physical data models for a variety of business data, applications, database structures, and metadata tables to meet operational goals for performance and efficiency. Carrying out day-to-day support for the reporting system MAJOR ACCOUNTABILITIES: Take the ownership of designing, building and managing data pipeline on both batch processing and streaming to ensure its availability, reliability and usability for various business demands.Review the existing data workflow and model to provide possible solutions for cost optimization, performance and efficiencyOther assignments such as incidents, ad-hoc tasks, etc..

Location: Remote (Vietnam-based)About HubbisHubbis is Asia’s leading knowledge and networking platform for the private wealth management industry. We connect senior professionals across private banks, independent wealth managers, family offices, and solution providers through our high-level forums, bespoke roundtables, and digital thought leadership content.We are now looking for a Sales & Business Development Executive to join our growing team.We are seeking a motivated and commercially-minded Sales & Business Development Executive based in Vietnam to support our expanding client relationships and growth initiatives across the region. The successful candidate will work closely with our Head of Partnerships and Founder to build, maintain, and deepen relationships with key decision-makers at leading financial institutions. This is a client-facing role, requiring a combination of strategic thinking, relationship management, communication, and sales execution. The role is focused on developing our existing client base while identifying new commercial opportunities across our events, editorial content, training platform, and bespoke projects.Key Responsibilities• Serve as a primary point of contact for a portfolio of existing clients, including private banks, retail banks, asset managers, and independent wealth firms. • Build relationships with senior professionals, especially in marketing, communications, business development, and product management roles. • Understand client objectives and provide tailored recommendations on how Hubbis solutions can support their brand, thought leadership, or business development goals. Sales and Commercial Execution • Present and promote Hubbis partnership opportunities including: • Event sponsorships and speaker roles o Editorial content and digital branding • Professional development and training solutions o Customised campaigns and projects • Manage the full sales process from opportunity identification and proposal development to closing and onboarding. Market Engagement and Representation • Attend and represent Hubbis at our events and private roundtables in Singapore, Hong Kong, and other key markets in Asia. • Provide regular client updates and manage ongoing communication to ensure strong visibility of upcoming opportunities. Product and Platform Development • Gather feedback from clients to inform the evolution of our offerings. • Collaborate internally to refine proposals and suggest new service lines or content formats to meet emerging client needs. • Develop and execute a clear, structured sales plan aligned with company goals and individual KPI targets.

VIETTEL CUSTOMER SERVICECông ty TNHH MTV Dịch vụ Khách hàng Viettel - Viettel Customer Service là công ty công nghệ về dịch vụ khách hàng, cung cấp toàn trình: từ Tư vấn, thiết kế, đến cung cấp giải pháp, phần mềm và nhân sự, giúp nâng cao trải nghiệm khách hàng bằng công nghệ sáng tạo. Tham gia phân tích, thiết kế kiến trúc và phát triển các hệ thống phần mềm của công ty.Đảm bảo chất lượng mã nguồn, hiệu năng và khả năng mở rộng của hệ thống.Viết tài liệu hướng dẫn vận hành, khai thác.Đảm bảo phát triển phần mềm tuân thủ theo các tiêu chuẩn (An toàn thông tin, công nghệ).Đề xuất các cải tiến kỹ thuật, công nghệ mới nhằm nâng cao hiệu suất làm việc và chất lượng hệ thống..Đào tạo dev level thấp hơn

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.

Participate in defining test beds and test procedures Perform all levels of testing as applicable to the project Review the testability of the test basis (specifications, requirements, etc.)Analyze test requirementsCreate test scenarios, test cases and test scripts (in some scenarios)Execute test casesCheck and assess test resultsSubmit and follow-up test defects, participate in daily stand-up meetings, defect triage callsResponsible for planning, keeping control of testing activities and meet productgoals, manage team member’s tasks and timeCreate test report