Việc làm cho sinh viên Đại học Việt Bắc

We are seeking talented and experienced Senior DevOps Engineer to play a pivotal role in ensuring the reliability, scalability, and performance of our platform. You will lead initiatives to design, implement, and maintain robust infrastructure and systems, driving continuous improvement and innovation. You will collaborate closely with cross-functional teams to optimise our technology stack, minimise downtime, and enhance the overall user experience.This will includeLead the design, implementation, and maintenance of highly available and scalable infrastructure and services.Develop and implement best practices for monitoring, alerting, and incident response to ensure system reliability and availability.Automate deployment, configuration, and management processes to streamline operations and enhance efficiency.Conduct performance analysis and capacity planning to proactively address scalability challenges and optimise resource utilisation.Collaborate with software engineering teams to ensure that applications are designed for reliability, scalability, and performance.Drive continuous improvement through the evaluation and adoption of new technologies, tools, and methodologies.Participate in on-call rotation and respond to incidents as needed, ensuring timely resolution and minimal impact on users.

Our Testers work with project teams to ensure software quality through systematic test planning, execution, and defect tracking, ensuring functionality, performance, and reliability of applications before deployment. With deep knowledge of various types of applications, databases, and operating systems, they maintain high standards of product excellence and user satisfaction. As an Automation Test Lead at Endava, you will be in charge of building, developing, and implementing automated tests to assure the quality of our software applications. You will take part in specific projects and work directly with our global stakeholders. Responsibilities:Analyze user stories, use cases, and requirements to ensure clarity, completeness, and testability.Collaborate closely with cross‑functional team members to define, refine, and optimize test cases.Plan and execute testing at all levels, including functional, integration, system, and regression testing.Lead and manage client interactions, ensuring clear communication and alignment on expectations.Design, develop, maintain, and enhance automation scripts using various frameworks and programming languages.Identify, document, and track software defects and inconsistencies throughout the development lifecycle.Apply quality engineering principles and best practices within an Agile environment.Prepare and maintain clear, comprehensive testing documentation and provide ongoing support as needed.

Manage and administer cloud◦ based infrastructure in both Azure and AWS. Configure, monitor, and maintain Linux servers and ensure high system reliability and performance. Implement and support CI/CD pipelines using Jenkins for automated deployments. Deploy, manage, and troubleshoot Docker Swarm clusters. Maintain and optimize system and network configurations, ensuring scalability and security.Collaborate with developers to support smooth releases and environment consistency. Monitor system health, perform backups, and apply updates and patches. Document configurations, procedures, and best practices.

Quản trị và vận hành nền tảng MiddlewareBảo mật, dự phòng và tối ưu hệ thốngQuản lý, vận hành và bảo mật hệ thống CSDLXây dựng cơ sở dữ liệu, đồng bộ dữ liệu và cấp phát dữ liệuXây dựng quy trình vận hành CSDL và phối hợp hỗ trợ xử lý sự cốBáo cáo công việc thực hiện theo kế hoạch hành động của Nhóm Vận hành Middleware và Cơ sở dữ liệu.Thực hiện các công việc khác theo sự phân công của Cấp có thẩm quyền

Có kinh nghiệm làm việc với các hệ thống Kubernetes, Red hat OpenShift, Gitlab, JenkinsThực hiện các công cụ và khung tự động hóa (CI/CD pipelines)Khắc phục sự cố sản xuất và phối hợp với nhóm phát triển để hợp lý hóa việc triển khai ứng dụngPhối hợp với các thành viên trong nhóm để cải thiện công cụ, hệ thống và quy trình kỹ thuật và bảo mật dữ liệuPhát triển và duy trì tài liệu thiết kế và xử lý sự cố

Key Accountabilities (1)1. IT Administration:- Coordinate IT division activities and operations to secure efficiency and compliance to company policies- Support monitor và report of action plan or tasks at division level as assigned- Organize and carry out the division administrative tasksKey Accountabilities (2)2. Support IT operation management and Operatial risk:Support the process of developing and implementing IT governance và operation capabilities, including but not limited to:- Financial Management: Be contact point to consolidate, finalize, and track the IT budget và spending. Corporate with IT units, FIN for cost optimization program, procurement plan and execution- Vendor management: Establish a mechanism to monitor, review, and manage the IT service provider's capacity, performance, TvàC compliance. Be contact point to develop set of standards with vendor, e.g. IT contract, license agreement. Develop relationship và cooperation opportunity with IT strategic partners and potential partnersKey Accountabilities (3)- Performance measurement: Work with other IT units to establish IT metrics and KPI. Track và provide periodically report and recommendation- Change management: Implement IT Change control process including planning for Change, Change impact analysis, Change approval, Change implementation and communication, and post Change review và reporting- IT internal audit: Implement audit jobs to ensure IT activities are executed in compliance with internal and external technology policies, processes and standards. provide recommendation for common và high business impact issues

Main Responsibilities:As an Agentics AI Engineer, you will collaborate closely with AI Researchers, Data Scientists, and Software Engineers to build autonomous systems capable of reasoning, planning, using external tools, and collaborating with other agents to achieve complex goals. Your responsibilities will include:Model Development: Developing, and fine-tuning models using state-of-the-art AI algorithms and techniques mostly for agentic systems, encompassing computer vision and NLP.Research and Experimentation: Experimenting with state-of-the-art AI model architectures in mult-imodal fields and approaches to enhance the performance and accuracy of existing products. Stay at the forefront of cutting-edge developments in AI and apply them to real-world projects.Data Preprocessing: Working on data preprocessing, feature engineering, and data augmentation to optimize and improve model training processes.Integration: Developing API interfaces for model interaction, closely collaborating with software engineering teams to integrate and deploy generalized AI models into real-world applications and systems. This will enhance customer interaction, automate processes, and improve decision-making capabilities.

We are looking for a highly skilled and experienced Senior Technical Business Analyst to take ownership of a critical payment solution initiative for one of our global clients. This is a strategic leadership role that blends hands-on technical expertise with project delivery oversight in a collaborative, multinational environment. As a Senior Technical Business Analyst at Endava, you’ll assist the delivery of Agile projects, ensuring strong alignment between business goals, technical teams, and client expectations. Acting as a facilitator and key communicator, you’ll drive collaboration, remove obstacles, and ensure timely, high-quality execution. This role is ideal for professionals who perform well in fast-paced environment and are passionate about delivering results through strategic problem-solving. Responsibilities: Build strong relationships with client and stakeholders through deep domain understanding and consultative engagement.Gather and analyze business requirements to define clear product needs.Provide solution recommendations aligned with client goals, technical context, and industry trends.Create and keep up to date product backlog (creating user stories and acceptance criteria from the product vision and epics).Collaborate closely with the engineering team to ensure timely, aligned delivery of user stories.Ensure features are developed with a clear understanding of business value and market relevance.Stay up to date with industry trends and proactively suggest improvements to product and client processes.

As a Data Engineer, you will be responsible for the following tasks:Provide the support for FWD Group Data platform on MLOps projects, the key work scope includes: data injection, data transformation, data processing, AI model deployment, AI model maintenance.Responsible for coding implementation of company internal MLOps Data delivery projects, and participate in different phase of delivery project.Participate in vendor delivery project code review, ensure MLOps data project delivery quality.Responsible for receiving the transferred project from vendor, and supporting the enhancement development and maintenance of production system.Participate in solving the technical difficulties encountered in the research and development of big data development platforms;Provide regular reports to FWD group data management teamCommunicate with all vendor delivery team following assigned project responsibilities.

Responsible for promoting and supporting Scrum by helping everyone understand Scrum theory, practices, principles, and values.Ensure that the Scrum process works well and properly.Coach the team on how to use Scrum practices and values to delight customers.Coach the scrum team in self-organizationCollaborate closely with the Product Owner to manage the product backlog.Facilitate Scrum events and other meetings as needed, e.g. product backlog refinement, planning, daily scrum, sprint review, and sprint retrospective.Facilitate getting the work done without coercion, assigning, or dictating the work.Facilitate discussion, decision-making, and conflict resolution.Guide the team to minimize and eliminate impedimentsProvide all support to the team using a servant leadership style whenever possibleHelp the scrum team achieve higher levels of scrum maturity.Work with other Scrum Masters to increase the effectiveness of applying Scrum in the Organization.PERSONAL ATTRIBUTES:Responsible to create a safe environment where problems can be raised without fear of blame, retribution, or judgment.An individual who is able to raise the morale of the team if it gets low.

HO25.504 - Data Engineer- Thiết kế, xây dựng, tối ưu cơ sở dữ liệu- Phát triển và bảo trì các quy trình ETL từ nhiều nguồn dữ liệu (OLTP, ODS, Data Warehouse.v.v.)- Lập trình PL/SQL để phát triển các thủ tục, hàm xử lý dữ liệu dưới tầng Database.- Phân tích yêu cầu dữ liệu, xây dựng mô hình dữ liệu (data model), luồng xử lý dữ liệu.- Phát triển báo cáo, dashboard phân tích

About GHNGiao Hang Nhanh (GHN) is one of Vietnam's leading logistics enterprises, confidently providing superior services: "SMARTER, FASTER, MORE COST-EFFECTIVE." We support millions of businesses in optimizing their operations and create thousands of jobs for the Vietnamese people.Established with the mission to revolutionize the logistics industry and driven by a technology-centric development approach, GHN continuously applies advanced technological solutions to every order. This aims to streamline operational processes, enhance delivery efficiency, and provide fast, secure, and effective service experiences for all customer segments – from e-commerce platforms and retailers to individual consumers.With a nationwide network covering all 63 provinces and a strategy of continuous innovation alongside a robust infrastructure system, GHN has been affirming its pioneering position in the rapidly growing e-commerce and logistics sectors in Vietnam.Why Join GHN?This is a pivotal opportunity to join a rapidly growing e-commerce delivery leader in Vietnam, where your contributions will directly impact our strategic direction and market position. You will be part of a team that embraces cutting-edge technologies, data-driven innovation & discruption to solve real-world problems and enhance millions of lives. We offer a dynamic and collaborative environment where you can leverage your expertise, grow professionally through challenging projects, and make a significant impact on our success.About the AI & Data TeamAt GHN, our highly motivated AI & Data team is dedicated to establishing GHN as the fastest, most reliable, and convenient delivery service in Vietnam. We achieve this by developing and adopting advanced, data-driven decisions and solutions, making data capability a core business driver for operational efficiency, scalability, and customer trust and happiness.Job SummaryWe are seeking a highly skilled and experienced Senior Data Software Engineer to join our dynamic AI & Data team. This pivotal role will be responsible for expanding and optimizing our big data collections and flows, designing scalable data pipeline architectures, and ensuring the robust integration of data for AI/ML-powered applications. The ideal candidate is an expert in big data engineering who thrives on optimizing complex data systems and building foundational infrastructure from the ground up to develop, deliver, and strengthen our AI & Data Platform. This platform is crucial for enabling all GHN’s users - employees, drivers, and customers - through advanced and robust data-driven insights and solutions. The Senior Data Engineer 2 will provide technical expertise, mentor junior team members, and collaborate closely with Data Scientists, ML Engineers, and other cross-functional teams to ensure optimal data delivery architecture and quality for ongoing AI/ML initiatives.Key ResponsibilitiesBig Data Platform Design & Optimization:Design, build, and maintain optimal big data pipeline architectures that are crucial for GHN's AI/ML solutions, ensuring high availability, scalability, and efficiency.Develop robust ETL/ELT solutions for optimal extraction, transformation, and loading of high-quality data from a wide variety of internal and external data sources (e.g., MongoDB, Postgres, e-commerce sites, social platforms).Optimize data writing and reading performance across various database systems and data lakes to support real-time and batch processing requirements.Make technical choices and build systems and tools to manage the entire data lifecycle of large, complex datasets.AI/ML Data Application Integration & Development:Collaborate closely with Data Scientists and ML Engineers to design and implement data solutions that support the development, training, and deployment of AI/ML models (e.g., demand forecasting, logistics optimization, fraud detection, customer segmentation).Oversee and contribute to the integration of AI/ML models into the broader product infrastructure and user experience, ensuring seamless deployment and operation.Develop and implement data pipelines specifically for AI/ML model data preparation, including feature engineering, data enrichment, backfilling, merging, deduplicating, and ensuring data compatibility and format for various model inputs.Data Quality, Governance & Monitoring:Implement and monitor robust data quality frameworks to ensure data accuracy, consistency, and integrity across all data sources, identifying and resolving potential issues proactively.Design and apply data governance solutions (e.g., using Apache Ranger) to manage data access, privacy, and compliance for large-scale projects, including ensuring legal and regulatory adherence.Build and customize metrics for monitoring and alerting tools to support incident detection and ensure the consistency and reliability of data services and pipelines.Technical Expertise & Collaboration:Provide technical guidance and mentorship to junior data engineers, fostering their professional development and promoting best practices in data engineering and AI/ML data readiness.Work closely with cross-functional teams including Data Analysts, Data Scientists, Product Managers, to understand business requirements and translate them into robust, data-driven solutions.Identify, design, and implement internal process enhancements through automation, optimizing data delivery and infrastructure for greater scalability and efficiency.Stay current on published state-of-the-art big data technologies and AI/ML data engineering techniques for continuous platform improvement.

1. Mục tiêu công việc:Quản trị hệ thống phần mềm nhân sự vận hành ổn định, an toàn và đáp ứng yêu cầu nghiệp vụ nhân sự;Thực hiện tùy chỉnh và phát triển các tính năng của hệ thống theo yêu cầu nghiệp vụ nhằm nâng cao trải nghiệm người dùng và tối ưu hiệu suất vận hành nhân sự.2. Nhiệm vụ chính:Quản trị hệ thống:Tham gia lập kế hoạch, triển khai nâng cấp phiên bản.Thực hiện quản lý tài khoản, phân quyền người dùng theo đúng quy định bảo mật.Xử lý lỗi và đảm bảo hệ thống hoạt động thông suốt.Tùy chỉnh & phát triển tính năng:Phân tích yêu cầu nghiệp vụ nhân sự từ các đơn vị sử dụng.Tùy chỉnh/phát triển mới các tính năng của phần mềm nhân sự theo yêu cầu nghiệp vụXây dựng và phát triển các báo cáo/cung cấp số liệu.Hỗ trợ người dùng & phối hợp xử lý sự cố:Tiếp nhận phản hồi và xử lý sự cố theo yêu cầu hỗ trợ từ người dùng nghiệp vụ nhân sự.Hướng dẫn sử dụng, đào tạo người dùng nội bộ về tính năng mới hoặc quy trình trên phần mềm nhân sự.Phối hợp với khối CNTT trong các vấn đề liên quan đến hạ tầng, bảo mật, Database.Quản lý thay đổi & tài liệu:Xây dựng tài liệu kỹ thuật, tài liệu hướng dẫn người dùng, quy trình vận hành chuẩn (SOP).Tham gia vào quy trình quản lý thay đổi (Change Management).Đảm bảo tuân thủ quy định bảo mật, kiểm soát truy cập.

LG CNS đang tìm kiếm các lập trình viên Back-end đủ tiêu chuẩn tham gia vào nhóm. Bạn sẽ phát triển trong việc phát triển ứng dụng web trong các lĩnh vực khác nhau, chẳng hạn như: AI Machine learning / Data , Security & Solution, DX…Đảm bảo hiệu suất, chất lượng và khả năng đáp ứng tốt nhất có thể của các ứng dụng ở phía Back-endLuôn cập nhật các công nghệ mới nổiTrao đổi chi tiết khi phỏng vấn

DescriptionCrossian is a fast-growing technology firm dedicated to building secure, scalable, and innovative E-Commerce and Supply Chain solutions.We are seeking a talented IT Business Analyst to join our team. In this role, you’ll solve complex problems, bridging business needs with technology solutions, and driving value through collaboration. If you are analytical, detail-oriented, and passionate about delivering impactful outcomes, this role is for you.As an IT Business Analyst, you willContribute to the development of Supply Chain Operations systems, including:Gathering requirementsModeling and Mapping ProcessesWriting Business Requirement documentsWriting functional Specification documentsWire-framing, PrototypingWriting User storiesWriting User guideDrawing diagrams such as activity diagramsUnderstanding and working with API SpecificationsMaintaining Documentation and contribute/support in Software development lifecycle.Developing test scenarios for UAT (User acceptance test)/Pilot and provide essential support to Business users during the UAT phase, ensuring solutions meet their needs accurately.

Plan, design, and build enterprise hardware systems such as PDC, DRC, evaluating and selecting the best options to meet the organization's needs. Operate, maintain, and upgrade VMWare, OpenStack environments, backup software and libraries. Maintain, plan, deploy and protect the infrastructure environment server hardware and firmware, consolidating and improving system components such as virtualization, backup servers, SAN, Hardware security module, rack, and storage systems mainly in PDC, DRC to meet the organization's current and future requirements. Ensure information security by understanding key security objectives such as confidentiality, integrity, and availability, and implementing appropriate measures in the infrastructure environment, fulfill the requirements of internal and external audits.Design converged SAN architecture and maintain SAN devices such as switches and storage, upgrading firmware when needed. Perform capacity planning for free space, performance, and usage, and proactively monitor systems to identify and address performance issues. Test all changes to SAN networks, hardware, and software to ensure smooth implementation and operation. 

-  Comply with the company's regulations, rules and working processes-  Complete assignment/task independently-  Project:+ Cooperate with Leader to achieve project target;+ Main responsibility in getting customer requirement, expectation and create basic design, database design and detail design. Based on this documents team can implement project;+ Main responsibility in controlling quality of deliverables meet with customer’s expectation.

HO25.501 - Chuyên viên cao cấp Bảo mật dữ liệu - Khối Dữ liệu1. 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.