Việc làm cho sinh viên Đại học Hoa Lư

Role OverviewThe Technical Product Owner (TPO) for Platform/Common Services is a critical, bridge-building role responsible for driving the adoption, utilization, and enhancement of the enterprise-standard tools and technologies (COM services) across multiple Scrum teams. This role acts as the key liaison between the Architect Committee Subset (ACS) / Solution Architects (SAs) and the Scrum Team Proxy Product Owners (PPOs) to ensure technical governance aligns with business value delivery.Key Responsibilities1. Enterprise Tool Adoption & Technical NurturingFacilitate Technical Understanding: Collaborate closely with Solution Architects (SAs) and the ACS to ensure all Scrum teams (PPOs) fully understand the value, capabilities, and business applications of the enterprise-standard tools.Promote Governance & Consistency: Actively promote and facilitate the adoption of enterprise-standard tools and technologies to enhance consistency and efficiency across all teams.Track & Report Utilization: Partner with SAs to gather and distribute regular Business Utilization Reports (bi-weekly) for key common tools (e.g., DG/Data Modeling Appliance, Workflow, DAP, OCR, Operational Report, Notification) to the PPO community.Support & Training Coordination: Coordinate ACS/SA-led training sessions for Technical Architects (TAs) and serve as a first point of contact to gather and escalate technical matters to SAs when PPOs lack technical understanding.Technical PoC Support: Assist the ACS team by following up on technical Proof-of-Concepts (PoCs) and tasks, particularly in generating reporting and sharing documentation.2. Common Service Enhancement & Business ValueDrive Service Adoption: Follow up on the common services adoption rate and increase awareness through organized sharing sessions with Scrum teams.Gather & Prioritize Use Cases: Gather real business use cases from development teams and propose scalable enhancements to improve existing features or introduce new ones.Optimize Business Utilization: Collect business use cases and track progress against a checklist to enhance the overall Business Utilization Ratio of COM services.Strategic Opportunity Identification: Proactively check each team's business flow to identify potential use cases where enterprise tools can be applied, thereby adding value and efficiency.Collaborate for Buy-in: Work with Program Management to involve key stakeholders and enhance team awareness and collaboration regarding COM services adoption.

Job SummaryThe ideal candidate will have a strong background in software testing and quality assurance, with a keen eye for detail and a passion for ensuring the highest standards of quality.Key ResponsibilitiesDesign, review, and maintain comprehensive test plans, test cases, and test scenarios based on business requirements and technical specifications.Develop, maintain, and scale test automation frameworks for UI, API, and integration testing.Analyze test results, identify root causes of issues, and report defects in a clear and concise manner.Continuously contributes to improve QA processes and practices to increase test coverage, reliability, and efficiency.Proactive in monitor quality metrics and provide regular reports on QA progress, test coverage, and product readiness.Participate in code reviews of test scripts and contribute to team knowledge sharing on automation best

Tham gia vào đội ngũ Data Engineer của ngân hàng, tham gia triển khai hồ dữ liệu (Data Lake), kho dữ liệu doanh nghiệp (Enterprise DataWarehouse & Datamart) Xây dựng, Phát triển và tối ưu ETL/ELT pipeline on-premise và on-cloud để tích hợp dữ liệu từ các hệ thống nghiệp vụ như Core Banking, CARD, CRM, Digital Channels, v.v… về các vùng dữ liệu dùng chung của ngân hàng như Staging, ODS, Data Warehouse, Data Lake…Tham gia phân tích, thu thập, chuyển đổi, làm sạch dữ liệu từ nhiều nguồn khác nhau, nhiều loại dữ liệu khác nhau (có cấu trúc, phi cấu trúc, bán cấu trúc), dữ liệu thời gian thực, dữ liệu theo định kỳThiết kế và vận hành hệ thống xử lý dữ liệu trên nền Spark, Glue, IBM DataStage, Airflow, hoặc DBT…Triển khai các luồng tích hợp dữ liệu realtime, near realtime sử dụng các công cụ Streaming data, CDC như Kafka, Flink, IBM Eventstream, Kinesis, ODI…Tham gia tiếp nhận, chuyển giao công nghệ, ứng dụng, giải pháp liên quan đến tích hợp dữ liệuTiếp nhận và xử lý các yêu cầu hỗ trợ (level 2) khi hệ thống đưa vào khai thác vận hành thực tế; Phối hợp đánh giá hệ thống định kỳ để đưa ra các đề xuất cải tiến sản phẩm, dịch vụ theo khung quản lý chất lượng tại PVcomBankTham gia phát triển các dự án chuyển đổi sốHỗ trợ xử lý sự cố, giám sát job dữ liệu, tự động hóa quy trình vận hành (DataOps/CI-CD)

Là cầu nối quan trọng giữa khách hàng với bộ phận kỹ thuật Phân tích và làm rõ các yêu cầu của khách hàng, thiết kế lại các quá trình sử dụng, vận hành của dự án;Tài liệu hóa hướng dẫn hệ thống;Viết, chuẩn bị các tài liệu đặc tả yêu cầu phần mềm cho các ứng dụng sẽ được phát triển phục vụ bộ phận kỹ thuật dự án và khách hàng sử dụng;Tư vấn trên góc độ nghiệp vụ dựa vào các phân tích và nghiên cứu của mình;Truyền đạt nội dung, hỗ trợ các thành viên dự án, người quản lý dự án để làm rõ yêu cầu của khách hàng cần đáp ứng; tổ chức hướng dẫn, hỗ trợ cho người dùng sử dụng sản phầm và xử lý sự cố khi vấn đề xảy ra.

Phân tích yêu cầu nghiệp vụ (BRD, SRS, Use Case) để xây dựng Test Plan, Test Scenario, Test Case.• Thực hiện Manual Testing cho ứng dụng web, mobile và các hệ thống backend.• Thực hiện API Testing (Postman, Swagger, JMeter), bao gồm API có token, signature, OAuth2.• Kiểm thử dữ liệu và logic xử lý trong Database (MySQL, SQL Server, Oracle) bằng các câu lệnh SQL phức tạp.• Kiểm tra tính toàn vẹn dữ liệu giữa frontend – backend – database.• Tham gia đối soát giao dịch, kiểm thử tiền tệ, tính lãi, hạn mức, phí dịch vụ trong hệ thống ngân hàng.• Theo dõi, ghi nhận và quản lý lỗi qua các công cụ như Jira, TestRail, Zephyr.• Phối hợp với BA, Developer, Product Owner và nghiệp vụ ngân hàng (Ops) trong quá trình kiểm thử.• Đề xuất cải tiến quy trình test, review testcase và hướng dẫn cho QC Junior.• (Ưu tiên) Tham gia nghiên cứu và ứng dụng cơ bản Automation Test (Katalon, Selenium).

Join in complete end to end ERP implementation projectDiscuss with customer to understand business requirementDoing gap analysisPropose solution to customer & do configuration in MS Dynamic 365 to adapt with customer requirementPrepare functional requirement document & functional design documentDo user training, support user acceptance testCooperate with technical team to do customization base on customer requirementDoing pre-sale & demonstration to customer

Quản lý và kiểm soát rủi ro an ninh thông tin (ATTT).Xây dựng, cập nhật các chính sách, quy trình, quy định, hướng dẫn liên quan đến ATTT đảm bảo tuân thủ các quy định của Ngân hàng Nhà nước và tiêu chuẩn Quốc tế.Triển khai giám sát việc thực thi các chương trình/tiêu chuẩn an ninh bảo mật: PCI, ISO trong phạm vi ATTT.PM các dự án triển khai hệ thống giám sát an toàn thông tinThực hiện audit, rà soát đánh giá các hệ thống an ninhĐóng vai trò đầu mối hoặc phối hợp theo dõi, giám sát việc chỉnh sửa theo kiến nghị của Kiểm toán nội bộ, Kiểm toán độc lập và các đoàn kiểm tra trong phạm vi ATTT.Đóng vai trò đầu mối phối hợp với các bên liên quan tổng hợp, báo cáo, đốc thúc việc khắc phục với các rủi ro về ATTT đã được chỉ ra.

As a Senior SAP ABAP Developer, you will be responsible for spearheading support and development initiatives within our SAP ecosystem, with a specialized focus on ABAP programming and Fiori in S/4 Hana.You will collaborate closely with cross-functional teams to analyze requirements, design solutions, develop applications, and ensure the seamless integration of SAP systems.This role demands strong technical expertise, problem-solving skills, and the ability to thrive in a fast-paced environmentResponsibilities:Develop and maintain ABAP programs to meet business requirements, ensuring high performance, scalability, and reliability.Customize and enhance Fiori applications to optimize user experience and align with organizational objectives.Collaborate with functional teams to understand requirements and translate them into technical specifications.Conduct thorough testing and debugging of developed solutions to identify and resolve issues promptly.Provide ongoing support and troubleshooting for existing SAP systems, ensuring minimal disruption to operations.Stay updated on SAP technologies, trends, and best practices to continuously enhance system capabilities and drive innovation.Participate in project planning and estimation, providing valuable insights to ensure the successful delivery of SAP initiatives.Mentor junior team members and contribute to knowledge sharing initiatives to foster a culture of learning and development.It will be an advantage if the candidate is familiar on module PP, TWM, and TM.

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. 

Power Apps Development (70%)Design, develop, test, and deploy RPA solutions using Automation AnywhereWork closely with business analysts and stakeholders to understand automation requirementsMaintain and support existing bots and troubleshoot issues when neededIntegrate automation workflows with systems such as SQL Server and other enterprise toolsCollaborate with cross-functional teams to deliver end-to-end automation solutionsPrepare technical documentation and ensure code quality standardsPower Automate Development 15%)Develop and implement automated workflows using Power Automate Cloud Flows and Desktop Flows to optimize business operations.Integrate Power Automate with Microsoft 365 services (SharePoint, Outlook, Teams, OneDrive) and third-party applications.Create and manage approval workflows, scheduled flows, and event-driven automation.Ensure workflows are optimized for performance, scalability, and security compliance.Troubleshoot, debug, and enhance existing automation solutions.General Responsibilities (10%)Work with stakeholders to gather business requirements and translate them into technical solutions.Provide training and support to end users for RPA solutions.Stay up to date with new features in RPA tools and continuously improve skillsCollaborate with IT and business teams to ensure governance, security, and compliance with company standards.SQL Server Back-End Development (5%)Design, develop, and maintain SQL Server databases and stored procedures.Optimize database performance, indexing, and query execution.Ensure database security, integrity, and reliability.

Lead Developers act as the primary point of contact for our clients, ensuring that teams are successful in their delivery. In this role, you will bring a strategic mindset to projects and spend time collaborating and negotiating with clients to bring a technical vision to life. Having a balance of high-level and tactical mindsets is a must, as you will spend time both with clients and your teammates.At Thoughtworks, we believe in going above and beyond the standard and are committed to delivering best-in-class solutions that exceed our clients' expectations. Our standard engineering and delivery practices reflect our commitment to quality, and our team is always looking to innovate and improve. Lead Developers guide and coach their teams in their implementation and application. Job responsibilitiesYou will own the design and architecture of solutions, making pragmatic technology choices and guiding delivery from start to finish.You will lead delivery by tracking work, mitigating risks, and resolving issues at both team and client levels.You will build and nurture high-performing teams by fostering growth, wellbeing, and inclusivity, while coaching and mentoring key people.You will influence and consult with clients, working within constraints to design scalable solutions and drive business value.You will champion engineering best practices such as TDD, pair programming, clean code, and design patterns.You will collaborate with stakeholders and teammates to design concepts, build prototypes, and embed UX best practices into solutions.You will apply continuous delivery and DevSecOps practices to deliver secure, high-quality software quickly and sustainably.You will remain hands-on with coding, applying multiple languages, tools, and modern practices - never becoming post-technical.You will leverage insights from the Thoughtworks Technology Radar to adopt new tools, techniques, and approaches.You will advocate for a culture of feedback, learning, and inclusivity, helping individuals and teams thrive.

We are looking for excellent engineers who can research & develop AI solutions. You will be given a chance to work on different real-world problems in various business domains of Toshiba using the latest technologies. You will sharpen your skills by constantly sharing with other senior members in our team or collaborating with experts in Toshiba R&D groups in Japan. The working environment is open, flexible, collaborative, encouraging, and excellence-oriented. Senior candidates with proven leadership & management skills will have opportunities for leadership roles.For further insights into Toshiba's AI projects, please explore the details available at the following link: 

NHÓM 3: QUẢN LÝ HẠ TẦNG VÀ MẠNG3.1. Công nghệ phần cứng và quản trị hệ thốngVai trò, số lượng- Vai trò: Thiết kế, giám sát triển khai kiến trúc tổng thể hạ tầng công nghệ thông tin; quản lý nhà nước về hạ tầng CNTT.- Số lượng: 01 người thực hiện: - Thiết kế kiến trúc tổng thể hệ thống hạ tầng CNTT của NHNN đáp ứng yêu cầu phát triển trong vòng 10 năm tới.- Giám sát việc triển khai kiến trúc.- Quản lý nhà nước về hạ tầng CNTT.

Own end‑to‑end delivery of AI department initiatives, from scoping and resourcing start-to-finish, to roadmap execution.Drive planning, risk/issue management, dependency mapping, and coordinate cross‑functional delivery with Data Science, MLOps/Platform, GenAI Apps, and studio teams.Keep stakeholders aligned with clear weekly updates, timelines, and decision logs.Operationalize repeatable workflows (intake, experiment tracking, post‑mortems, retro actions).Partner with engineers to unblock execution (access, environments, test data, approvals).Coordinate vendor engagements and external pilots as needed.Maintain lightweight documentation, runbooks, and onboarding guides so teams can self‑serve.Help with L&D efforts related to AI adoption.Other tasks as assigned.

Design, develop, and manage scalable data pipelines and ETL processes using AWS Glue, Lambda, and MWAA (Apache Airflow on AWS).Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Iceberg, and DynamoDB.Integrate and monitor data workflows via SNS, CloudWatch, and Datadog.Design and implement data modeling and storage strategies in MySQL, Oracle, and PostgreSQL.Architect and implement big data platforms with focus on performance, scalability, and maintainability.Collaborate with cross-functional teams to analyze business requirements and translate them into data solutions.Support ongoing operations and resolve data issues involving application-layer and cloud infrastructure.

Design and build high-performance, scalable backend systems capable of handling millions of users and concurrent transactions. Develop APIs and integrations with various exchanges, wallets, and blockchain protocols. Optimize database performance and scalability to ensure efficient real-time data ingestion and processing. Implement efficient caching and storage solutions to deliver lightning-fast data access to our users. Collaborate closely with front-end developers and the product manager to translate user needs into technical solutions. Integrate with third-party services and exchanges to expand our data reach. Write clean, well-documented code, adhering to best practices for code quality and security.

YOUR MISSIONWe are seeking an experienced Lead AI Engineer to join our team to develop and implement AI solutions to solve business problems. The ideal candidate will have a strong background in AI, machine learning and software architecture, with experience in implementing and deploying enterprise AI services on cloud platforms. Additionally, this candidate should be able to work collaboratively with other team members to integrate AI solutions into existing systems. HOW YOU'LL MAKE AN IMPACTLead an AI Engineer development team, focusing on the back-end AI services, by providing direction and facilitating the collaboration between team members. Study and understand our current business, involve into the PRD discovery phase, be able to clarify & understand the business problem.Design cloud-native AI service architecture that is scalable, highly available, reliable and maintainable.Participate in estimation, sprint planning and task assignment.Be responsible and fully control AI services from scratch, including solution, architect, DB, detailed design, coding, code review, testing, deployment, monitoring and support. Develop, implement and deploy AI solutions to solve real-world business problems.Monitor & optimize AI solutions for performance, scalability and reliability.Collaborate with the AI team and software engineers to build, integrate, and maintain AI models in production systems.Integrate AI solutions into existing systems.Work collaboratively with software developers to ensure successful deployment of AI services.Communicate results and progress clearly to technical and non-technical stakeholders.Stay up-to-date with the latest developments in AI, machine learning and AI application architectures.

Phát triển phần mềm, thực hiện kiểm thử nội bộ, viết tài liệu kỹ thuật và triển khai ứng dụng trên các môi trường khác nhauPhân tích nguyên nhân sự cố, tối ưu từ người dùng hoặc các ứng dụng tích hợp của đối tác, đề xuất phương án xử lý tối ưu.Tham gia phân tích, thiết kế và đưa ra giải pháp kỹ thuật dựa trên tài liệu yêu cầu nghiệp vụ.Xác định và rà soát các vấn đề thường xuyên phát sinh lỗi, xây dựng phương án khắc phục triệt để và giám sát thực thi.Phối hợp với các thành viên trong đội dự án (BA, QA, DevOps, Product Owner,...) để hoàn thiện sản phẩm.Nghiên cứu nâng cấp bản thân để cập nhật các công nghệ, thiết kế mới