Việc làm cho sinh viên Đại học CNTT và TT (ĐH Thái Nguyên)

About Galaxy Joy Galaxy Joy operates Vietnam's leading loyalty platform, powering the Vietjet SkyJoy program andconnecting over 250 brand partners across thecountry. As we expand across ASEAN,we're building a world-class data infrastructure from the ground up to support real-time transaction processing, partner integrations, and data-driven decision making at scaleJob Description: We're looking for a Senior Data Engineer to join our growing data team and play a central role in transforming our data infrastructure into a modern, scalable platform. This is a hands-on leadership position where you'll own critical deliverables, drive architectural decisions, and help establish best practices as we build out our medallion architecture. You'll work across the full data stack, from ingestion and orchestration through transformation andanalytics, and have significant influence over how we design and operate our data platform.1.Platform ModernizationYou will drive the transformation of legacy systems into our modern data architecture. This includes championing engineering best practices such as code reviews, documentation, and testing, as well as mentoring junior team members andcontributing to building our data engineering culture.2. Data Ingestion and OrchestrationYou will design, develop, and maintain robust data pipelines using Apache Airflow and Python. This includes building and optimizing DAGs for ingesting data from brand partners with varying formats anddelivery methods. You'll ensure data quality and reliability at the point of ingestion with proper validation and error handling.3. Data Transformation and ProcessingYou will own heavy data transformation workloads, translating complex business requirements into efficient Spark jobs. This involves building and maintaining scalable data pipelines that handle late arriving data, schema evolution, and partner data synchronization. You'll implement comprehensive monitoring and alerting to ensure pipeline health and data freshness, working with Delta Lake for reliable, ACID-compliant data processing.4. Analytics and ReportingYou will design and optimize data models in Snowflake for analytical workloads. You'll partner with BI teams to ensure data is structured for effective Power BI reporting and self-service analytics, and build aggregation pipelines that support business intelligence and operational reporting needs.

Job descriptionDesign, develop, document, and execute complex test cases for functional and regression testing.Perform functional testing for new features and regression testing for each software release.Participate in meetings with stakeholders to clarify requirements and product design.Collaborate with teams in Vietnam, the US, and Finland to analyze and validate requirements.Support troubleshooting and investigation of issues across web and Windows applications.Log, track, and report defects; work closely with developers for resolution.Work in an Agile environment and support additional projects when needed.Other duties assigned by ManagerManual Testing: Build and maintain detailed functional and regression test scenarios/test suites.Automation Testing:Apply generally accepted programming standards and techniques to assure efficient program logic and data manipulationDesign, code, test and debug new and existing software utilizing technologies for the project assigned. This typically includes JavaScript, C#, SQL scripts, and ASP.NET within a test frameworkWorking understanding of Source ControlRefactor existing tests

Tìm kiếm, tiếp cận và sàng lọc khách hàng tiềm năng để phát triển thành đối tác tuyển dụng của Công ty. Chuyển đổi khách hàng tiềm năng thành hợp đồng, đảm bảo hoàn thành mục tiêu doanh số. Duy trì và phát triển mối quan hệ với khách hàng, cam kết mang lại dịch vụ chất lượng cao. Phối hợp chặt chẽ với đội ngũ tuyển dụng để xây dựng, tối ưu và cung cấp giải pháp phù hợp cho nhu cầu của khách hàng. Đề xuất và triển khai các chiến lược kinh doanh, đồng thời sáng tạo và đổi mới trong việc phát triển dịch vụ của Công ty. Thực hiện các nhiệm vụ khác theo phân công của Quản lý trực tiếp.

We are seeking skilled .NET Developers with a minimum of 3 years of professional experience in .NET development. Successful candidates will join our international team and contribute to the development of our Akkuro Mortgage platform. This role involves close collaboration with team members in both Vietnam and the Netherlands, providing a dynamic and culturally diverse work environment. Responsibilities:Design, develop, and maintain .NET applications with a focus on technical excellence.Collaborate effectively with international team members to deliver high-quality software solutions.Participate in code reviews to ensure adherence to coding standards and best practices.Troubleshoot and resolve technical issues to ensure smooth project execution.Create and maintain clear and comprehensive technical documentation.Frameworks and Tools Used:.NET Framework, .NET 8Entity FrameworkWeb APIDependency Injection (Autofac)NServiceBusNHibernateAzure PipelinesHelm Charts

Never settle, think bigger. Vulcan Labs is a leading mobile application development company based in Ho Chi Minh City, Vietnam, with flexibility for some remote work. Since 2017, we have published over 30 game and mobile applications with several hundred thousand Daily Active Users and over 10 million downloads combined. Our products on iOS App Store and Android include Camera Translator: Translate+, Face Story - AI Photo Editor, and TV Cast & Screen Mirroring. We welcome individuals from diverse backgrounds to join our team and embrace challenges in a fast-changing industry.Responsibilities:As part of our next growth phase, we are building a data ecosystem to power millions of users, optimize AI-driven products, and support decision-making across squads (Product, AI, Backend, Marketing). We are looking for a Senior Data Engineer who thrives in high-scale environments and wants to help shape the data backbone for our applications and AI platforms.As Senior Data Engineer  in our team, you will:Design, build, and maintain scalable data pipelines and ETL processes to support our app ecosystem (analytics, personalization, AI model feedback loops).Develop and operate pipelines on Google Cloud Platform (BigQuery, Pub/Sub, Dataflow, Cloud Functions, Composer/Airflow).Build internal APIs/services to make data accessible across squads (Backend, AI, Marketing).Ensure data reliability, quality, and governance for multiple app platforms with structured, semi-structured, and unstructured sources.Implement CI/CD and DevOps practices to automate deployment and monitoring of pipelines from dev to production.Work closely with stakeholders (Product Managers, Data Analysts, AI Engineers, Marketing leads) to gather requirements, prioritize initiatives, and turn business questions into scalable data solutions.Collaborate with Data Analysts and AI Engineers to integrate statistical models, product metrics, and A/B testing frameworks into production workflows.

The Programmer / Developer will be a key part of the Information technology department that builds, supports, and scales the IT business applications or projects of South Asia services and entities. This individual will ensure the systems are within quality and meeting the service performance expectationResposibilitiesInvolved in new systems development, enhancements, and maintenance to existing applications to ensure alignment with business objectivesResponsible for programming, problem resolution, and user support of one or more system applicationsPrepares technical and user documentation

Xây dựng và duy trì giao diện Admin (CMS, Dashboard, Reporting tools) giúp team sản phẩm, vận hành quản lý nội dung, theo dõi metric, phân tích dữ liệu và tạo báo cáo một cách hiệu quả.Tích hợp chặt chẽ với API backend (REST/GraphQL) và đảm bảo trải nghiệm tải dữ liệu mượt mà, hiệu năng tốt. Làm việc cùng Product, Backend, QA/QC, UI/UX và Data team để đảm bảo yêu cầu nghiệp vụ được chuyển thành UI trực quan, dễ dùng.Theo dõi và tối ưu hiệu năng, xử lý bottleneck trên client. Đảm bảo code clean, dễ bảo trì và nhất quán.

Compile and analyze data, processes, and codes to troubleshoot problems and identify areas for improvement. Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience. Developing ideas for new programs, products, or features by monitoring industry developments and trends. Recording data and reporting it to proper parties, such as clients or leadership. Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members.

About the RoleWe are looking for an experienced Senior Cloud Engineer with a strong background in AWS infrastructure design, deployment, and operations. The ideal candidate has a solid understanding of AWS core services, Infrastructure as Code (IaC), Kubernetes (EKS), and modern cloud automation practices. You will be responsible for designing, implementing, and maintaining scalable, secure, and cost-efficient cloud environments across multiple AWS accounts.ResponsibilitiesDesign, implement, and manage AWS cloud infrastructure following best practices for scalability, availability, and security.Operate and maintain AWS environments in multi-account setups using AWS Organizations, IAM, and cross-account role management.Deploy, manage, and optimize EKS (Elastic Kubernetes Service) clusters for containerized workloads.Implement infrastructure provisioning and lifecycle management using Terraform, CloudFormation, or AWS CDK.Automate configuration management, application deployment, and system updates using Ansible or Chef.Monitor, troubleshoot, and optimize performance and cost of AWS services such as EC2, S3, RDS, and VPC networking.Collaborate with developers, DevOps, and security teams to deliver reliable and secure cloud platforms.Maintain and improve CI/CD pipelines and GitOps workflows for cloud resources and Kubernetes clusters.Ensure compliance with security and governance standards across all AWS accounts.Provide technical guidance, documentation, and mentoring to junior engineers when needed.

Triển khai, xây dựng, vận hành và tối ưu các giải pháp ATTT.Giám sát và phân tích các sự kiện ATTT nhằm phát hiện bất thường, cảnh báo và phối hợp với các bộ phân liên quan để xử lý.Xây dựng quy trình, quy định và các kịch bản phản ứng sự cố ATTT đảm bảo các sự cố ATTT được xử lý nhanh chóng, giảm thiểu tối đa ảnh hưởng.Thực hiện hoạt động điều tra số, truy vết nhằm xác định nguyên nhân và nguồn gốc các hành vi xâm nhập trái phép hệ thống CNTT.Định kì báo cáo tình hình ATTT của hệ thốngNghiên cứu, cập nhật các giải pháp, công nghệ mới về bảo mật, đề xuất triển khai các giải pháp bảo mật mới để nâng cao an toàn ANTT cho hệ thống

Manage DB health and services to ensure the highest standards of availability, resilience, integrity, security, tuning, and performance, as well as backups and recovery plans.Execute disaster recovery plans and procedures to ensure database availability during system outages or dysfunctions.Support development teams on database aspects.Join operations sessions with customers for live monitoring, troubleshooting, and fine-tuning of production databases.Monitor and resolve issues in both Production and Integration environments.Coach, supervise, or lead other team members when necessary.Continuously improve through transformation and architecture initiatives related to OCI Cloud, AWS, and MongoDB.

Phát triển Fullstack cho sản phẩm Web: Backend (.NET Core, Node.js), Frontend (ReactJS). Thiết kế, xây dựng, tối ưu RESTful API và microservices, đảm bảo hiệu năng và khả năng mở rộng. Làm việc với PostgreSQL, nghiên cứu và tích hợp MongoDB/Cassandra cho các module E-commerce. Tham gia quy trình Agile/Scrum, phối hợp chặt chẽ với team để triển khai sản phẩm. Hỗ trợ hoặc thực hiện các công việc DevOps (CI/CD, Docker, triển khai trên cloud) khi cần.

- Xây dựng và đóng góp ý kiến về quy trình, quy định liên quan đến kiến trúc và mô hình dữ liệu.- Đảm bảo các kiến trúc dữ liệu tuân thủ các tiêu chuẩn và kiến trúc phê duyệt của ngân hàng.- Nghiên cứu, đề xuất, quy hoạch và tư vấn các giải pháp dữ liệu nhằm đáp ứng yêu cầu phân tích dữ liệu và báo cáo.- Tiếp nhận, đánh giá, quy hoạch và tư vấn giải pháp cho các sản phẩm, dịch vụ dữ liệu từ các đơn vị nghiệp vụ.- Xây dựng sản phẩm/dịch vụ dữ liệu, đảm bảo đáp ứng đúng tiến độ và tiêu chuẩn chất lượng đã cam kết.

Trusting Social is an AI Fintech pioneer that's revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy." We've assessed over 1 billion consumers across four countries, and we're on a mission to provide 100 million credit lines using the power of AI and Big Data.How You'll Make an ImpactThe Credit Insight team consists of highly skilled and passionate data scientists who are committed to staying current with the latest advancements in data science, machine learning, and artificial intelligence. Our team tackles a wide range of areas including credit scoring, fraudulent activity detection, profit optimization, and developing advanced technologies such as conversational AI. By analyzing extensive datasets that capture daily customer behavior, we continuously uncover unique and intriguing machine learning and business challenges. Our goal is to build robust machine learning models that enhance user experience and optimize the profitability of our financial products.What You'll DoTrain and Fine-tune LLM Models: Develop and refine large language models to follow instructions, comprehend customer inquiries, and communicate naturally and effectively.Design and Develop LLM Agents: Create and tailor LLM agents to meet specific business needs and objectives.Build Evaluation Frameworks: Establish comprehensive evaluation frameworks to assess the performance and effectiveness of LLM agents.Feedback Collection and Model Improvement: Develop systems for collecting user feedback and iteratively improving model performance based on this feedback.Develop Other ML Models: Design and implement various types of machine learning models to address diverse business needs.Collaboration and Consultation: Work closely with peers, colleagues, and managers to resolve issues and achieve shared goals.Develop other ML models. 

Trực tiếp triển khai hoặc phối hợp triển khai phân tích dữ liệu nâng cao bằng các phương pháp mô hình thống kê, thuật toán học máy (ML), học sâu (deep learning)... để giải quyết các bài toán phát sinh trong hoạt động kinh doanh của Ngân hàng; Tham gia trong toàn bộ vòng đời của dự án khoa học dữ liệu, từ xác định đến giải quyết vấn đề, và vận hành, bảo trì. Trình bày các khám phá và khuyến nghị trong phân tích dữ liệu. Hướng dẫn, đào tạo các chuyên viên khoa học dữ liệu cấp dưới. Nghiên cứu, cập nhật các thông lệ, kiến thức mới về khoa học dữ liệu; Tham gia các vấn đề về khoa học dữ liệu như quy trình phân tích dữ liệu, xây dựng và kiểm định mô hình định lượng, thuật toán học máy theo đề nghị của đơn vị; Tham gia triển khai cấu trúc dữ liệu, quy hoạch luồng dữ liệu, lưu trữ dữ liệu phục vụ cho nhu cầu khai thác và phân tích dữ liệu lớn, ứng dụng ML.

Responsibilities: Platform Engineering & AutomationDesign and maintain Kubernetes-based environments with blue-green/multi-cluster strategies.Build scalable CI/CD pipelines leveraging ArgoCD, Jenkins, and GitOps practices.Automate infrastructure provisioning and configuration with Terraform, Helm, and kubectl.Infrastructure & CloudArchitect and operate AWS infrastructure (VPC, EKS, Transit Gateway, RDS, S3, ECR, IAM, etc.).Design highly available, multi-tier network architectures with secure connectivity to on-prem.Optimize cost, performance, and scalability across compute, storage, and networking layers.Lead adoption of infrastructure security best practices (guardrails, detective/preventive controls, encryption).Observability & ReliabilityEstablish monitoring, logging, and alerting with Prometheus, OpenSearch, and Grafana.Define and enforce SLOs/SLIs, champion reliability engineering practices.Lead incident management processes and support blameless postmortems.Security & SaaS IntegrationImplement Zero Trust principles with service mesh, OAuth2 proxies, and ZTNA integrations.Manage IAM roles, secrets, and access control across hybrid infra and SaaS services.Integrate and operationalize security and productivity SaaS platforms (e.g., Zscaler, SentinelOne, Twingate, Atlassian stack).Ensure compliance with PCI DSS, ISO 27001, MAS TRM, and other regulatory frameworks.Collaboration & LeadershipPartner with product and engineering teams to improve developer experience and platform efficiency.Mentor engineers on cloud architecture, automation, and SaaS adoption.Evaluate emerging tools, SaaS offerings, and practices, aligning them with business needs.

Tư vấn, xây dựng chính sách ATTT nhằm đảm bảo các hệ thống, chính sách CNTT tuân thủ các quy trình quy định của ngành cũng như của pháp luật hiện hành. Thiết lập, chuẩn hóa, ban hành, triển khai, cập nhật và quản lý các văn bản chính sách, quy định, tiêu chuẩn, quy trình, hướng dẫn ATTT tuân theo yêu cầu của NHNN, ISO 27001, PCI DSS,... Xây dựng, triển khai và duy trì hệ thống Quản lý an ninh thông tin (ISMS); tiêu chuẩn PCI DSS; tiêu chuẩn Swift CSP Xây dựng tài liệu và thực hiện đào tạo ATTT hướng đối tượng và toàn hàng. Thực hiện đánh giá tuân thủ và rủi ro ATTT định kỳ hoặc đột xuất. Thực hiện tư vấn ATTT cho dự án, đánh giá, thẩm định hồ sơ thiết kế hệ thống thông tin. Thực hiện triển khai và quản trị hệ thống DLP. Nghiên cứu các khung rủi ro ATTT và thực hiện triển khai áp dụng cho tổ chức. Thực hiện các nhiệm vụ theo phân công của cấp quản lý.

The Business Analyst based in Vietnam is responsible for gathering and documenting product requirements, analyzing and improving processes, engaging with stakeholders, and collaborating with Tech and UX teams to deliver data-driven and user-centric solutions that meet product objectives.ResponsibilitiesRequirements Gathering & Documentation:Conduct meetings and workshops with product stakeholders to capture detailed product requirements.Develop comprehensive product requirement documents (PRDs), use cases, user stories, and functional specifications that clearly outline product goals and system functionalities.Collaborate with stakeholders to refine and prototype solutions that meet their needs.Process Analysis & Improvement:Map and analyze existing product processes to identify inefficiencies, bottlenecks, and areas for improvement.Suggest and document process changes to enhance productivity and reduce costs.Work with cross-functional teams to implement process improvements.Stakeholder Engagement:Act as the primary liaison between company departments and technical teams (Tech and UX), ensuring clear and timely communication.Facilitate requirements validation sessions, design reviews, and status meetings.Ensure that all stakeholders are aligned on project scope, deadlines, and deliverables.Technical Collaboration:Translate product requirements into technical specifications that enable developers and other technical team members to build effective solutions.Work closely with the quality assurance (QA) team to ensure that developed solutions match the product requirements.Support end-to-end testing efforts, including user acceptance testing (UAT), and verify that issues are resolved.Participate in product testing to ensure alignment with both functional and UX specifications.Data Analysis & Reporting:Analyze product data to identify trends, opportunities, and potential risks.Generate insightful reports, dashboards, and visualizations that highlight key performance indicators (KPIs) to help guide decision-making.Use data-driven insights to support recommendation development and problem-solving.Product Delivery:Define project scope and objectives, including resource requirements and timelines.Monitor product progress and provide regular updates to stakeholders.Identify potential project risks and collaborate with teams to develop mitigation strategies.Continuous Improvement:Keep up to date on industry trends and emerging technologies to drive innovation within the organization.Recommend best practices based on lessons learned from previous projects and industry standards.