Việc làm cho sinh viên Đại học Phạm Văn Đồng

Ready to take on meaningful responsibilities from day one? Teamflow GmbH, a dynamic company from Germany with a start-up mindset, highly motivated colleagues, and a strong customer base, is looking for you! Join our team in Saigon and grow with us.We are looking for a salaried full-time Lead Developer (Python) for our incubator team in Ho Chi Minh City (D1) to join us as soon as possible.Lead by Example, Build with ImpactAs the incubator team's Lead Software Engineer, you’ll be the driving force - inspiring developers to deliver exceptional software, on time, every time. You won’t just manage; you’ll mentor, collaborate, and code alongside your team, setting the bar for quality and innovation.You’ll partner closely with our Product Owner and Scrum Master, ensuring seamless alignment and turning vision into reality. With your hands-on expertise, you’ll develop, test, and maintain cutting-edge applications, championing best practices and modern architectures like MVVM to create scalable, high-performance solutions.But your role goes beyond coding: you’ll foster a culture of excellence, guiding the team to embrace coding standards, CI/CD pipelines, and agile methodologies. Your leadership will empower the team to push boundaries, solve complex challenges, and deliver software that makes a difference.

MÔ TẢ CÔNG VIỆC:1. Mục tiêu công việc: Xây dựng, tổ chức và vận hành các sự kiện (Event) và chiến dịch tiếp thị (Marketing Campaign) nhằm quảng bá thương hiệu, sản phẩm và dịch vụ của công ty một cách hiệu quả.2. Nhiệm vụ chính:• Tổ chức sự kiện: Phối hợp triển khai tổ chức các sự kiện chuyên ngành lớn (MMA, AC Nielsen/Kantar), các sự kiện khác (tại các trường đại học, CSR…)• Vận hành chiến dịch Marketing: Vận hành các chiến dịch Marketing, bao gồm các dự án hợp tác với nghệ sĩ và nhãn hàng.• Sản xuất nội dung: Sản xuất Showreel, tài liệu truyền thông về sự kiện và chiến dịch.3. Thời gian làm việc: Thứ 2 đến Thứ 6 (8:00-17:30), nghỉ trưa từ 11:30-13:00.*** ĐÃI NGỘ:• Mức lương cạnh tranh: Chế độ lương phù hợp với năng lực từ 20 – 35 triệu VNĐ• Chế độ phúc lợi: Hỗ trợ chi phí ăn trưa, gửi xe, team building, khám sức khoẻ tổng quát định kì, bảo hiểm sức khoẻ...• Chính sách lao động: Nghỉ lễ, tết. tham gia đầy đủ BHXH theo quy định của nhà nước.• Cơ hội phát triển: Môi trường làm việc chuyên nghiệp, năng động. Cơ hội thăng tiến rõ ràng lên các vị trí quản lý.• Đào tạo: Được đào tạo nâng cao chuyên môn thường xuyên

:Vận hành end-to-end mảng Ngân hàng Điện tử cho khách hàng cá nhân, bao gồm Internet Banking, Mobile Banking, eKYC, Smart OTP và các hệ thống liên quan.Đảm bảo ổn định, sẵn sàng và chất lượng dịch vụ (availability/reliability/performance); lập kế hoạch và thực hiện bảo trì/patching định kỳ cho các thành phần trong phạm vi quản lý.Triển khai cài đặt, cấu hình, quản trị và vận hành các ứng dụng/hệ thống thuộc phạm vi phụ trách.Hỗ trợ mức 2 (L2) theo SLA đã cam kết; phối hợp L1 và các đơn vị liên quan để tiếp nhận, xử lý và khắc phục yêu cầu/sự cố.Quản lý sự cố & vấn đề (Incident/Problem Management): tiếp nhận, khoanh vùng, điều phối xử lý, thực hiện RCA và khôi phục dịch vụ đúng thời hạn, giảm thiểu tối đa ảnh hưởng tới hoạt động kinh doanh.Xây dựng, chuẩn hóa và cập nhật bộ tài liệu vận hành: runbook/SOP, checklist bảo trì, hướng dẫn xử lý sự cố và tài liệu hướng dẫn L1.Theo dõi, thu thập và báo cáo định kỳ các chỉ số OLA/hiệu quả vận hành (ví dụ: uptime, số lượng sự cố, MTTR, số lượng yêu cầu, …).Lập kế hoạch và thực hiện nâng cấp/đổi phiên bản theo khuyến nghị của nhà sản xuất; đảm bảo tương thích, an toàn dữ liệu và tuân thủ quy trình Change/Release.Chủ động đề xuất và triển khai sáng kiến cải tiến hệ thống/quy trình nhằm nâng cao ổn định, hiệu năng và trải nghiệm khách hàng.Chủ động đề xuất và triển khai sáng kiến cải tiến hệ thống/quy trình nhằm nâng cao ổn định, hiệu năng và trải nghiệm khách hàng.

To develop and maintain a high availability and high-capacity cluster platform used worldwide. It is a Linux based system with below characteristics:   High Availability: fault tolerance system, 24/7 service availability. Scalability: ability to increase or decrease the number of cluster nodes according to the business need without affecting service availability. Manageability: software management including installation, upgrade, downgrade on cluster level without affecting service availability.  By joining our team, you will have a chance to collaborate with senior engineers from Australia and other countries to: Understand the requirements, design and implement features for Linux systems using system service and popular programming languages. Maintain and troubleshoot issues reported by the integration test teams or the customers. Improve the product design and implementation when needed.

Triển khai công việc theo sự phân công của Product manager phụ trách sản phẩm kế toán - tài chính, bao gồm:• Đảm bảo các yêu cầu sản phẩm được rõ ràng, đầy đủ và phù hợp với định hướng của công ty.• Duy trì liên lạc và phối hợp hiệu quả giữa các bộ phận liên quan (kỹ thuật, marketing, sales, hỗ trợ khách hàng).• Báo cáo kịp thời tiến độ công việc và các vấn đề phát sinh cho Product Manager hoặc cấp trên.• Tham gia phân tích cạnh tranh, nghiên cứu thị trường để hỗ trợ đưa ra chiến lược sản phẩm.• Phối hợp chặt chẽ với nhóm phát triển trong việc hoàn thiện tính năng mới, nâng cấp sản phẩm.• Học hỏi và cập nhật xu hướng sản phẩm mới, công nghệ mới trong lĩnh vực quản lý sản phẩm.

Main responsibilities include but not limited to the followings:• KYC tasks for on-boarding process- Review the On-boarding Request Form received from Relationship Manager and perform preliminary due diligence checks- Collect necessary document from Relationship Manager to fulfill AML/ KYC related internal rules and local regulations- Perform Customer Screening and Adverse Media Searches on AML/KYC screening systems (such as World Check, Factiva…)- Calculate the Customer Financial Crime Risk Rating- Perform Enhanced Due Diligence and Specialized Due Diligence • KYC tasks for periodic review - Compare and source existing KYC documentations - Identify gaps in KYC information for incremental tasks - Liaise with Relationship Manager and/or relevant stakeholders to obtain necessary information- Data entry in AML/ KYC systems (G-KYC, G-COP…)- Conduct Expected vs. Actual Analysis, Identification Verification process for KYC on-boarding and review- Determine for escalation to Local or Regional Financial Crime if any and preparing the whole KYC file- Check daily and periodical KYC alerts- Upload information to AML/KYC screening systems (such as World Check, Factiva…) for daily screening• Other ad-hoc tasks- Monitor KYC due date, ensure the accuracy and completeness of KYC records, Perform ad-hoc screenings - Support other regions in KYC information collection and KYC review- Prepare document for AML/ KYC related audit & SBV inspection- Study manual/procedure related to AML/ KYC under HO as well as local regulation requirements- Execute other tasks as instructed by Management, Department Head and Team Head

About This Role:We’re looking for a Data Analyst who’s excited to dig into the numbers, uncover insights, and help the business make smarter decisions. In this role, you’ll partner with teams across the company to understand their questions, explore the data, and turn your findings into clear, practical recommendations.While your main focus will be analysis and storytelling, you’ll also bring solid technical skills to the table — helping us build reliable datasets, improve reporting, and make sure our data is accurate and easy to use. You’ll play a big part in strengthening our data-driven culture by making information more accessible and empowering colleagues to use data with confidence. Key Responsibilities:Data Exploration & ModelingCollect, clean, and analyze data from multiple sources to support business needs.Build and maintain core analytical datasets and reports for cross-functional teams.Ensure accuracy, consistency, and reliability of data through validation and quality checks.Apply statistical and analytical techniques to uncover trends and opportunities.Business Partnership & Strategic AnalysisCollaborate with business stakeholders to understand requirements and deliver actionable insights.Conduct in-depth analyses on customer behavior, product usage, and market trends.Translate complex data findings into clear, impactful recommendations for business strategy.Support data-driven decision-making across marketing, operations, finance, and product teams.AnalyticsDevelop dashboards and KPI tracking tools to monitor business performance.Design and execute experiments (e.g., A/B tests) to evaluate initiatives.Present insights clearly and compellingly to technical and non-technical audiences.Team Development & Knowledge SharingPromote data literacy by helping colleagues understand and leverage analytical tools.Share best practices in data analysis, visualization, and reporting.Contribute to documentation and training to enhance organizational analytics maturity.Dedicate a portion of time to cross-team projects that enhance company-wide data capabilities.

Tham gia phát triển web responsive sử dụng HTML5 / CSS / JavaScript / PHP / WordpressSử dụng WordPress xây dựng hệ thống quản trị nội dung (CMS)Thực hiện bảo trì và nâng cấp các website của khách hàngXây dựng và tối ưu hóa ứng dụng website theo chuẩn Google SEO, W3CSử dụng các thư viện jQuery, GSAP, ThreeJS,…

Collect, analyze, and clarify business requirements related to data from internal departments and stakeholders.Translate business requirements into technical specifications for the Data Analyst and Data Engineer teams.Develop and manage documentation: BRD, FRD, Use Cases, Data Flow, Data Mapping.Act as a bridge between business teams and technical teams to ensure products/data meet requirements.Participate in User Acceptance Testing (UAT) and validation of data-driven products.

Expert/ Senior Site Reliability Engineering (Monitoring Engineer / Observability)Design and implement monitoring solutions for enterprise systems across on-premise and AWS cloud environments.Define/update monitoring standards, metrics, and alerts in collaboration with infrastructure and application teams.Maintain and operate observability tools such as Grafana, Prometheus, InfluxDB, Dynatrace, Splunk, and OpenSearch.Act as a key point of contact for projects to advise on monitoring requirements and best practices.Integrate monitoring tools into CI/CD pipelines and incident management workflows.Collaborate with stakeholders across IT, security, operations, and business units to ensure monitoring coverage and visibility.Participate in root cause analysis and post-incident reviews to continuously improve observability practices.

About GHNGiao Hàng Nhanh (GHN) is one of Vietnam’s leading logistics companies, proudly delivering exceptional services with the commitment: “Smarter, Faster, More Cost-Effective.” GHN empowers millions of businesses to optimize their operations while creating thousands of jobs for the Vietnamese workforce.Founded with the mission to revolutionize the logistics industry and guided by a technology-driven vision, GHN continuously integrates advanced technological solutions into every delivery. This enables streamlined operations, enhanced delivery performance, and a fast, safe, and efficient customer experience - serving a wide range of clients including E-commerce platforms, retailers, and individual consumers.With a nationwide network spanning all 63 provinces and cities, a forward-thinking innovation strategy, and robust logistics infrastructure, GHN continues to affirm its position as a pioneer in Vietnam’s rapidly growing E-commerce and logistics sector." 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 Engineer 2 (S4) 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.

• Kiểm tra tất cả các khoản thanh toán trước khi thực hiện lệnh trên ngân hàng.• Kiểm tra hồ sơ bán hàng, xuất hóa đơn GTGT, đốc thúc công nợ với sale. (tầm 100 hóa đơn/ tháng)• Ghi chép các nghiệp vụ kinh tế phát sinh lên phần mềm kế toán (công ty có sử dụng ERP).• Thực hiện các công việc chuyên môn kế toán/ thuế:• Thực hiện kê khai và nộp báo cáo định kỳ theo quy định pháp luật: Tờ khai thuế GTGT, tờ khai Thuế TNCN, BCTC năm, tờ khai Quyết toán thuế TNDN, tờ khai quyết toán thuế TNCN. (công ty kê khai theo quý).

Tham gia với vai trò là Lập trình viên Java, phát triển phần backend của dự án.Hợp tác chặt chẽ cùng các thành viên trong team Scrum để phát triển sản phẩm.Chịu trách nhiệm phát triển các chức năng và đảm bảo chất lượng chung của sản phẩm.Tham gia vào tất cả các khâu trong quá trình phát triển phần mềm: tìm hiểu yêu cầu, phân tích, thiết kế, nghiên cứu công nghệ mới.Xử lý các yêu cầu phức tạp hoặc các vấn đề khó trong dự án.Hỗ trợ và hướng dẫn các thành viên trong team review code

Infrastructure Automation & CI/CDDesign, implement, and maintain CI/CD pipelines for scalable backend and data services.Automate infrastructure provisioning using tools like Terraform, Terragrunt, or Ansible.Integrate automated testing, deployment workflows, and rollback strategies to support agile development.Maintain GitOps practices and CI/CD infrastructure using Jenkins, GitLab, and related tooling.Kubernetes & EKS OrchestrationManage and optimize Kubernetes clusters on AWS (EKS), including node autoscaling, namespace management, and resource allocation.Build, configure, and maintain Helm charts for deployment automation and cluster app lifecycle.Implement best practices for Kubernetes security, multi-tenant isolation, and cluster upgrades.Work with developers to containerize services and deploy them reliably in production.DataOps (Nice to have)Collaborate with data engineers to automate data pipeline deployment using tools like Apache Airflow, ensuring end-to-end scheduling, dependency management, and monitoring of data workflows.Implement and manage transformation pipelines, supporting versioned SQL models, testing, and documentation across environments.Integrate and manage data warehouse platforms, optimized for analytical and operational workloads.Support Metabase as the core business intelligence tool, including integration with data sources, permission management, and dashboard reliability.Ensure data quality, lineage, and observability by collaborating on validation frameworks and metrics integration.Operationalize and maintain databases such as MySQL, PostgreSQL, and streaming/message brokers like Kafka, ActiveMQ, and Redis.Automate and document backup, restore, failover, and disaster recovery strategies for critical infrastructure and data assets.Contribute to the deployment and tuning of data storage solutions (e.g., MinIO, S3) and metadata/catalog tools to enhance discoverability and governance.Cloud Infrastructure ManagementArchitect and manage cloud infrastructure primarily on AWS (including VPC, EC2, EKS, RDS, MSK, ElastiCache).Design high-availability (HA) and fault-tolerant infrastructure for critical backend and data workloads.Support multi-region deployment patterns and network configuration (e.g., DNS, VPN, routing, load balancing).Drive cost optimization efforts in compute, storage, and networking.Monitoring, Logging & Incident ManagementSetup Logging Centralized using EFK (ElasticSearch, Fluentbit, Kibana)Set up monitoring tools (Prometheus, Grafana, ELK, or Datadog) for proactive alerting.Define and enforce SLOs/SLAs for chatbot uptime and response time.Lead incident response and root cause analysis for system failures.Security & ComplianceEnsure best practices in infrastructure security (IAM, VPC, secrets management).Support compliance efforts for data protection (GDPR, SOC2) in chatbot data pipelines.Perform ad-hoc DevOps tasks as required, including emergency patches, incident support, or rapid deployment of security updates.

- 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

You will participate in SERVE project, a business system that supports school management in Japan.Review the product specification.Understand product requirements completely.Create and review testing specifications and test cases according to the schedule.Execute testing tasks according to schedule and make sure of the quality of the product.Track all the bugs and communicate issues to ensure their resolution before project release. 

Who we are?Money Forward is embarking on an exciting new venture in collaboration with Sumitomo Mitsui Financial Group and Sumitomo Mitsui Banking Corporation to explore the provision of BaaS (Banking as a Service) and digital banking solutions. We are seeking a talented Backend Engineer to join our core banking team, which will be at the heart of this initiative.Responsibilities and DutiesAs a Software Engineer in the Core Banking Team, you will leverage Mambu, a leading cloud banking platform for neobanks and challenger banks, to build one of the most reliable and agile banking systems in the industry. Our goal is to shape the future of digital banking in Japan, making it more accessible and user-friendly than ever before.Acquire domain knowledge in digital banking, including deposits, loans, clearing and settlement, basic accounting, domestic exchange, and Zengin network.Actively engage with product owners to define requirements.Develop, test, and deploy code that meets non-functional quality gates such as static code analysis, software composition analysis, SAST, and DAST, while maintaining numerical accuracy.Design and build high-performance, scalable microservices centered around APIs.Pursue test automation and continuous improvement, including API testing.Take responsibility for the entire software development lifecycle.

• Phụ trách bán hàng và quảng bá sản phẩm của công ty, đạt được mục tiêu bán hàng.• Phát triển khách hàng mới, chăm sóc khách hàng hiện hữu, góp phần mở rộng thị phần của công ty.• Bám sát và xử lý kịp thời các khiếu nại của khách hàng nếu có, đảm bảo cung cấp dịch vụ hậu mãi tốt.