Việc làm cho sinh viên Đại học Xây dựng miền Trung

• Involve in building the trading app and trading-related services as a software engineer to provide an evaluation of technical feasibility, develop high availability and low latency system architectures for trading runtime, provide connectivity with trading core and third-party services, and develop existing software systems • Write technical documentation and operation guidelines to ensure the system’s stability  • Ensure the responsiveness of the assigned company websites, including the HSC Website, HSC Online, and HSC products landing page. Implement enhancement for these websites • Modernize, redesign and rewrite existing software systems to cloud-ready/cloud-native architecture  • Participate in system architecture designing, comparing, and selecting system technologies such as databases, frameworks, libraries • Maintain existing codebases, including troubleshooting bugs and adding new features.  • Interfacing with customers directly to gather requirements, troubleshoot problems, provide training, etc.  • Balance a variety of concurrent projects

The Data Architect will be the technical leader responsible for defining the end-to-end data architecture and strategy for our modern data platform. You will design scalable, resilient, and secure data solutions from the ground up, ensuring alignment with long-term business goals. This role requires deep hands-on expertise (5-7 years) to both design and drive the implementation of the data roadmap, focusing on performance, integrity, and accessibility across massive datasets.Lead the conceptual, logical, and physical data modeling efforts for the Data Lakehouse, Data Warehouse, and operational data stores, ensuring high quality and optimal performance.Define the overall data architecture roadmap and technology stack (Cloud, tools, services) to support high-volume data ingestion, transformation, and consumption across the enterprise.Design and document scalable, resilient, and cost-optimized ETL/ELT data integration patterns for diverse data sources (tourism platforms, social media, internal systems).Establish and enforce data governance frameworks, standards, policies, and best practices for data quality, metadata management, lineage, security, and compliance.Act as the expert consultant and technical mentor to the Data Engineering team, guiding them on complex implementation, optimization (e.g., Spark tuning), and troubleshooting of data pipelines.Collaborate with CTO/Leadership and business stakeholders to translate strategic business requirements into feasible, high-impact data architecture solutions.Evaluate and recommend new data technologies, tools, and platforms to ensure the data ecosystem remains cutting-edge and future-proof.Manage and maintain the overall data security model, including access control and data masking/anonymization techniques.

We are seeking highly skilled AI Engineers (Senior/ Expert) with strong experience in LLM (Large Language Models) to enhance our product team.This position focuses on developing and implementing AI, LLM, and data-driven solutions that power intelligent products across a diverse, data-intensive ecosystem — spanning finance, assets, and consumer experiences. ResponsibilitiesBuild Data Pipelines: Collect, process, and standardize real estate data (listings, transactions, legal documents, images, maps, etc.).Develop Automated Valuation Models (AVM): Build valuation models based on big data and predictive analytics.Optimize Search & Recommendation Engines: Enhance search and recommendation systems using LLM-based semantic search, embeddings, and NLP algorithms.LLM Applications & Generative AI: Develop internal AI assistants, document Q&A, and knowledge retrieval systems powered by LLMs (OpenAI, Claude, LLaMA, etc.), leveraging RAG pipelines, LangChain/LlamaIndex, and vector databases (Pinecone, Chroma, FAISS, qDrant).Integrate AI into Products: Collaborate with software architects, GIS, backend, and product teams to integrate AI & LLM models into production.Implement & Improve MLOps: Deploy, monitor, and continuously improve ML/LLM models in a production environment.

Thiết kế và triển khai các hệ thống AI/ML quy mô lớn (retrieval, generation, recommendation, Text-to-SQL, personalization, v.v.). Đề xuất và dẫn dắt các hướng nghiên cứu / giải pháp tối ưu cho các bài toán AI trong doanh nghiệp. Làm việc cùng nhóm kỹ thuật để xây dựng pipeline dữ liệu, huấn luyện và tối ưu mô hình phục vụ sản phẩm. Đảm bảo khả năng tích hợp mô hình vào hệ thống backend / microservices với độ ổn định cao.Tham gia mentoring, code review, hướng dẫn đội ngũ trẻTheo dõi hiệu năng mô hình (accuracy, latency, drift), đề xuất chiến lược nâng cấp định kỳ.

⭐ OVERVIEW OF GPBANKGPBank is a member of the VPBank Group ecosystem, transferred under a mandatory restructuring from a “zero-dong” bank model. It is also the first bank in Vietnam to achieve profitability within only five months after the transfer under VPBank’s management — a remarkable milestone demonstrating outstanding restructuring and governance capabilities.At the same time, GPBank is the pioneer bank in Vietnam to implement a completely new Core Banking system, built on China’s modern OneConnect Core platform. This strategic move reflects the bank’s ambition to become a technology-driven digital banking leader, not only rebuilding its entire system from scratch but also laying the foundation to replicate and transfer this model to other member units within the VPBank ecosystem. Department / Division: Bank Digitalization Solution  - Information Technology DivisionReports To: Department Manager🌱 JOB RESPONSIBILITIES- Define and manage the product backlog for digital platforms (e.g., Internet Banking, Mobile Banking, eKYC, RM tools) and internal operational systems (e.g., BPM, ECM, DMS)- Prioritize backlog items based on business value, user experience, and urgency aligned with the bank’s digital transformation strategy.- Collaborate closely with Business Unit, BAs, Developers, QA, and DevOps to ensure timely and high-quality delivery of digital solutions.- Actively participate in Agile ceremonies such as Sprint Planning, Daily Stand-ups, Grooming, and Retrospectives to maintain alignment and agility.- Act as the central contact point for clarifying business requirements and coordinating issue resolution during development, testing, and deployment phases.- Communicate effectively with business units, operations, testing teams, partners, and other stakeholders to ensure aligned expectations and execution.- Gather and manage feedback from end users and business units, updating the backlog accordingly.- Monitor post-release performance of digital platforms, including usage metrics, error rates, and actual user experience.- Propose enhancements to improve system usability, operational efficiency, and customer experience across digital platforms.- Ensure all solutions comply with IT architecture guidelines, information security policies, IT procedures, and internal governance standards.

We are seeking highly skilled AI Engineers (Senior/ Expert) with strong experience in LLM (Large Language Models) to enhance our product team.This position focuses on developing and implementing AI, LLM, and data-driven solutions that power intelligent products across a diverse, data-intensive ecosystem — spanning finance, assets, and consumer experiences. ResponsibilitiesBuild Data Pipelines: Collect, process, and standardize real estate data (listings, transactions, legal documents, images, maps, etc.).Develop Automated Valuation Models (AVM): Build valuation models based on big data and predictive analytics.Optimize Search & Recommendation Engines: Enhance search and recommendation systems using LLM-based semantic search, embeddings, and NLP algorithms.LLM Applications & Generative AI: Develop internal AI assistants, document Q&A, and knowledge retrieval systems powered by LLMs (OpenAI, Claude, LLaMA, etc.), leveraging RAG pipelines, LangChain/LlamaIndex, and vector databases (Pinecone, Chroma, FAISS, qDrant).Integrate AI into Products: Collaborate with software architects, GIS, backend, and product teams to integrate AI & LLM models into production.Implement & Improve MLOps: Deploy, monitor, and continuously improve ML/LLM models in a production environment.

Responsibilities: Go Development: Lead the development of our robust and scalable core control server using Go (Golang). C Development: Build and maintain high-performance device connectivity libraries in C (e.g., libmagicp2p), linking with pthread and libsodium. Database Integration: Integrate with our MySQL 8.0 database, write efficient SQL queries, and manage secure TLS connections. Deployment & Ops: Write and maintain deployment, operations, and monitoring scripts using Python 3 and Bash. Build & Tooling: Create and manage Makefiles for building, testing, and cross-compiling both Go and C components. Infrastructure Management: Deploy, manage, and automate services on DigitalOcean, including provisioning droplets and utilizing the DO API. System Services: Configure and maintain systemd services for running the control server. Monitoring: Implement and improve monitoring dashboards in Grafana by aggregating metrics from our services. Code Reviews: Conduct thorough code reviews to ensure code quality and adherence to best practices. Collaboration: Work closely with other engineers and product managers to deliver high-quality, reliable systems. Security: Implement and manage SSH tunneling, database security (custom CAs), and other infrastructure security best practices. 

Job DescriptionThe "LIFULL HOME'S" app development team is dedicated to improving the user experience by solving problems faced by users considering a change of residence. By collaborating with the UX research team, we deepen our understanding of users and leverage LIFULL's vast real estate data to promote the provision of "smart home searching" that is personalized for each userResponsibilitiesDevelopment of new features, enhancement, maintenance, and operation of mobile applicationsScope of change: Responsibilities may be subject to change as determined by the company

- Tìm kiếm và phát triển tập khách hàng tiềm năng trong lĩnh vực cung cấp các thiết bị (máy chấn, CNC, hàn laser, tiện, máy nén khí, …), giải pháp trong ngành gia công cơ khí, hệ thống khí nén, …;- Tìm hiểu nhu cầu của khách hàng, phối hợp cùng các bộ phận lên giải pháp và báo giá cho khách hàng;- Theo dõi tình trạng đơn hàng, ký kết hợp đồng, theo dõi công nợ;- Giải đáp các thắc mắc, ý kiến của khách hàng về sản phẩm, các vấn đề kĩ thuật, bảo hành, ….;- Lập kế hoạch kinh doanh để hoàn thành chỉ tiêu doanh số theo tháng, quý, năm;- Thực hiện các công việc khác theo yêu cầu của Trưởng Bộ phận.

1. Phân tích yêu cầu nghiệp vụ Làm việc với các bộ phận nghiệp vụ để tổng hợp, phân tích và đánh giá yêu cầu người dùng (URD); tư vấn giải pháp ứng dụng phù hợp nhu cầu quản trị và kinh doanh. Xác định yêu cầu chức năng và phi chức năng của các phần mềm cần phát triển, đảm bảo tuân thủ kiến trúc CNTT của BIDV. Xây dựng tài liệu đặc tả yêu cầu người sử dụng (RSD); phối hợp với bộ phận Phát triển trong phân tích và thiết kế chức năng phần mềm. 2. Nghiên cứu và đề xuất giải pháp sản phẩm Nghiên cứu, nắm bắt kế hoạch kinh doanh và chiến lược phát triển sản phẩm/dịch vụ của đơn vị nghiệp vụ để đánh giá tính cấp thiết, đồng bộ giữa các yêu cầu. Phân tích nhu cầu thị trường và sản phẩm tương tự nhằm đề xuất ý tưởng, tính năng, giải pháp nâng cấp sản phẩm – dịch vụ ngân hàng. Tư vấn và đề xuất giải pháp số hóa, cải tiến quy trình nghiệp vụ dựa trên công nghệ và xu hướng thị trường. 3. Cập nhật công nghệ và hỗ trợ triển khai Cập nhật, nghiên cứu công nghệ mới để tư vấn ứng dụng vào các giải pháp nghiệp vụ, nâng cao hiệu quả vận hành. Phối hợp kiểm thử, nghiệm thu và triển khai phần mềm, đảm bảo yêu cầu nghiệp vụ được đáp ứng đầy đủ. Hỗ trợ đào tạo, hướng dẫn người dùng, chia sẻ kiến thức về công nghệ và sản phẩm trong phạm vi triển khai."

The Senior Scrum Master acts as a Guide/Coach for multiple teams, taking responsibility for large products/releases involving several teams and departments. Beyond supporting high team performance, this role must actively detect and remove risks/issues at the inter-team level, coach Junior/Scrum Master Specialists, and drive the Evolving of the Agile Organization.Detailed Description:Managing Products with Agility:• Use advanced techniques to guide the PO and teams in managing the Product Backlog in complex/multi-product environments.• Facilitate the team to define and clearly understand the Vision and Product Goals.• To make use of appropriate techniques, best practives to guide and supporer product owner in managing Backlog effectively• Provide support to create and track the work plan in SDLCDeveloping & Delivering Products Professionally:• Coach and Train the teams on how to self-organize and work effectively with an Agile/Scrum mindset.• Guide and support the teams in planning, monitoring, and controlling big Releases (Scope spanning multiple Sprints).• Guide the team in working cross team and departementes, including but not limited to: - Organize communication and alignment across teams - Plan and track integration plans - Ensure transparent communication and information effectively• Actively detect and resolve/remove inter-team issues/risks ASAP.• Ensure all scrum events are fully executed and performed proactively and effectivelyDeveloping People and Teams:• Provide coaching services for individuals and junior Scrum Master to work effectively using Agile frameworks• Effectively make use of the frameworks' knowledge, best practices and previous experience to actively consult, support, facilitate problem solving between individuals, team following Agile MindsetEvolving the Agile Organization:• Guide and support Junior Scrum Masters to ensure the quality of their assigned work.• Directly create training materials and teach topics related to effective Agile/Scrum practice for the entire organization.

⭐ OVERVIEW OF GPBANKGPBank is a member of the VPBank Group ecosystem, transferred under a mandatory restructuring from a “zero-dong” bank model. It is also the first bank in Vietnam to achieve profitability within only five months after the transfer under VPBank’s management — a remarkable milestone demonstrating outstanding restructuring and governance capabilities.At the same time, GPBank is the pioneer bank in Vietnam to implement a completely new Core Banking system, built on China’s modern OneConnect Core platform. This strategic move reflects the bank’s ambition to become a technology-driven digital banking leader, not only rebuilding its entire system from scratch but also laying the foundation to replicate and transfer this model to other member units within the VPBank ecosystem. Department / Division: Bank Digitalization Solution  - Information Technology DivisionReports To: Department Manager🌱 JOB RESPONSIBILITIES- Define and manage the product backlog for digital platforms (e.g., Internet Banking, Mobile Banking, eKYC, RM tools) and internal operational systems (e.g., BPM, ECM, DMS)- Prioritize backlog items based on business value, user experience, and urgency aligned with the bank’s digital transformation strategy.- Collaborate closely with Business Unit, BAs, Developers, QA, and DevOps to ensure timely and high-quality delivery of digital solutions.- Actively participate in Agile ceremonies such as Sprint Planning, Daily Stand-ups, Grooming, and Retrospectives to maintain alignment and agility.- Act as the central contact point for clarifying business requirements and coordinating issue resolution during development, testing, and deployment phases.- Communicate effectively with business units, operations, testing teams, partners, and other stakeholders to ensure aligned expectations and execution.- Gather and manage feedback from end users and business units, updating the backlog accordingly.- Monitor post-release performance of digital platforms, including usage metrics, error rates, and actual user experience.- Propose enhancements to improve system usability, operational efficiency, and customer experience across digital platforms.- Ensure all solutions comply with IT architecture guidelines, information security policies, IT procedures, and internal governance standards.

Design and customize reports.Modify databases according to requests and perform tests.Monitoring the data quality of data pipelines, provide data management support to clients.Liaise with developers to improve applications and establish best practices.Responsible for building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting.Developing and implementing data models, data marts for enterprise data lake/data warehouse and integration development process.Building new Data Analytics solutions to provide insights for decision-making and performance improvements.Writing effective and scalable ETL processes in building the business’ data collection systems and processing pipelines.Participate in Agile/Scrum activities: daily standup, demo session, retrospective, estimate and planning, etc.Provide mentoring/training for junior members if any.Perform other tasks assigned by the Leader/ Manager.

Cấu hình và vận hành nền tảng dữ liệu lớn như Cloudera CDP, Databricks, hoặc tương đương;Vận hành hệ thống xử lý dữ liệu batch và streaming (ETL pipelines, Kafka, Spark Structured Streaming...);Quản lý và tối ưu hiệu năng cụm xử lý dữ liệu;Giám sát ETL hàng ngày, xử lý lỗi, đảm bảo hoàn thành đúng SLA;Làm việc với đội phát triển dữ liệu để cải tiến pipeline, tối ưu các xử lý;Đề xuất cải tiến kiến trúc ETL; Streaming, tối ưu chi phí vận hành và độ ổn định hệ thống;Thiết lập cảnh báo và giám sát ETL/Jobs/Cluster qua công cụ như Prometheus, Grafana,...;Quản lý truy cập, phân quyền sử dụng dữ liệu và giám sát log truy cập;Làm việc với các team bảo mật và kiểm toán để đảm bảo compliance;Xây dựng các tự động hóa cải tiến/thay thế công việc vận hành;Các công việc khác mà cấp trên giao phó;Viết SOP, tài liệu hướng dẫn, quy trình khắc phục sự cố, kiểm thử hệ thống định kỳ;Báo cáo cho ban giám đốc về các hoạt động của hệ thống.

Marketing Automation Platform Management: o Configure and manage marketing automation platforms (e.g., Salesforce, Marketo, HubSpot, Pardot) to execute automated campaigns.o Develop persona-based customer journeys and implement automated workflows, including email campaigns, lead scoring, and segmentation.o Monitor and optimize campaign performance, making data-driven adjustments to improve results.o Stay up to date with marketing automation trends, tools, and best practices.Email Marketing: o Create, design, and execute targeted email campaigns to nurture leads and customers.o A/B test email subject lines, content, send times and other criteria to maximize engagement and conversions.o Analyze metrics to identify trends and opportunities for improvement.o Explore alternative tools to supplement or replace traditional email marketing (e.g., Zalo, Owned app notifications)Data Analysis and Reporting: o Develop comprehensive marketing automation reports, present findings in a clear and concise manner, both written and verbal.o Track and analyze marketing automation KPIs, use data-driven insights to optimize future marketing automation campaigns and strategies.o Develop comprehensive, visually appealing dashboards and reports for multiple social media platforms and other media channels using data visualization tools (e.g., Tableau, Power BI, Google Data Studio).CRM Integration: o Support integrates marketing automation platforms with CRM systems (e.g., Salesforce, Dynamics 365) to ensure seamless data synchronization and lead scoring.o Laise with relevant teams and leverage CRM data to personalize marketing campaigns to individual preferences.

Thiết kế, xây dựng, tối ưu cơ sở dữ liệuPhát 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

1. Nhiệm vụ trọng tâm chung: Quản trị, vận hành, xử lý sự cố liên quan đến hệ thống an ninh bảo mật Vận hành các hệ thống an ninh bảo mật Quản trị các hệ thống an ninh bảo mật. Tham gia đánh giá an toàn bảo mật cho các hệ thống CNTT tại chi nhánh. Phân tích, điều tra, xử lý các sự kiện bảo mật ở mức trung bình, thấp được phát hiện từ các hệ thống giám sát, cảnh báo và từ các đơn vị liên quan. Chủ động rà soát, săn tìm các lỗ hổng bảo mật, các điểm yếu trên các hệ thống, ứng dụng CNTT của BIDV Xây dựng và thực hiện các kịch bản tấn công thử nghiệm và đề xuất các biện pháp kiện toàn hệ thống. 2. Nhiệm vụ trọng tâm cụ thể: Kiểm tra, đánh giá an ninh bảo mật ứng dụng, dịch vụ của BIDV Đánh giá, kiểm thử an ninh bảo mật hệ thống CNTT: máy chủ, ứng dụng, cơ sở dữ liệu, … Nghiên cứu, xây dựng, đề xuất các giải pháp, công cụ an ninh bảo mật Đề xuất xây dựng các quy trình, checklist về đánh giá bảo mật ứng dụng Tham gia triển khai các giải pháp an ninh bảo mật cho ứng dụng