Việc làm cho sinh viên Đại học Công nghiệp Việt Trì

Là công ty công nghệ xây dựng nền tảng thương mại điện tử, giúp người bán hàng dễ dàng tạo và quản lý cửa hàng online, bán hàng đa kênh, và tự động hóa quy trình kinh doanh. Chúng tôi đang tìm kiếm Backend Developer có kinh nghiệm xây dựng hệ thống SaaS quy mô lớn, yêu thích hiệu năng, bảo mật, và kiến trúc mở rộng.Bạn sẽ chịu trách nhiệm phát triển và tối ưu hoá các dịch vụ backend phục vụ cho nền tảng EazyShop, bao gồm:Phát triển backend feature dựa trên Vendure coreViết plugin, custom module theo kiến trúc VendureSử dụng NestJS để:Tổ chức moduleQuản lý dependency injectionViết service xử lý nghiệp vụViết và mở rộng GraphQL resolver theo Vendure conventionsLàm việc với database postgresql thông qua TypeORMDebug và xử lý các luồng nghiệp vụ E-commerce phức tạpViết test cơ bản cho các logic quan trọng

Build like a founder. Ship like Spartan.Our customers are scaling fast and so are we. That’s why we’re looking for an Applied AI Engineer to join our world-class team.At Spartan, we don’t act like contractors. We embed with startups backed by YC, Pear VC, BlingCap, a16z, Techstars, and more - partnering with founders and engineers from Stanford, MIT, Yale, Google, Amazon, Uber, and beyond. Together, we help launch MVPs in 30 days and scale systems that power billions of requests.This isn’t “just another AI role.” It’s a chance to work shoulder-to-shoulder with elite builders, solve complex startup challenges, and see your work directly drive companies raising millions on the global stage. You’ll also be at the frontier of AI: 70% of our portfolio is LLM-powered. Key ResponsibilitiesPrompts & Interfaces: Design clear prompt templates and role scaffolds (System/User/Assistant). Prefer structured outputs (JSON/schema).Context & Memory: Keep chats relevant with windowing/summarization and retrieval-backed long-term memory; basic tenant/privacy scoping.RAG Pipeline: Chunk/clean docs, embed into a vector store, run hybrid retrieval (BM25 + dense), and return answers with citations.Grounded Answers: Favor evidence, cite sources, and abstain when unsure.Agent Loops & Tool Use: Implement Plan → Act → Observe → Iterate; call APIs/DBs via typed tool contracts. 

As a Senior QC within Dirox Studio, you are the safety line for our clients' digital ascent. You don’t just "test software"; you certify the "Gear" before the summit push.Stress-Test the Gear: Take full ownership of the testing lifecycle. Execute rigorous Functional, Smoke, and Regression tests across Web, iOS, and Android to ensure the "climb" is bug-free and safe.AI-Powered Inspection: Be a modern Sherpa by using AI tools to automate test case generation and analyze results—shifting from manual repetition to intelligent, high-value oversight.Map the Route (Use Cases): Translate complex requirements into exhaustive test scenarios. You predict every slip and stumble (edge cases) before they happen.Guide the Rope Team: Coach junior members on quality best practices and AI adoption. Partner with the Product team from sprint planning to release, ensuring quality is built-in, not bolted on.

We are looking for a Code-Loving Leader to bridge the gap between high-level architecture and hands-on execution. This is a working manager role, requiring a 50% split between people management/strategy and hands-on coding/architecture. You will mentor a small, five-person engineering team. If you are passionate about DevSecOps, obsessed with Clean Code, and want to maintain your coding edge while mentoring others, this role is designed for you. 1. Technical Architecture & Hands-on Coding (50%)Lead by Example: Dive into the code (C#/.NET Core & React) to tackle complex features and set the benchmark for quality.Architect Secure Solutions: Design scalable cloud-native applications using Azure Functions, App Services, and Key Vault; Drive the design of scalable, highly secure applications leveraging Azure Services. Establish and enforce superior coding standards and secure coding practices within the .NET Core/C# backend and the React frontend.Engineering Excellence: Champion code quality through rigorous code reviews, emphasizing design patterns, performance, and security-first principles.Quality Assurance: Conduct continuous, thorough code reviews, prioritizing security vulnerabilities and design best practices.2. Leadership & Mentorship (People First)Build the Team: Mentor and grow a cross-functional team (Devs, DB Engineer, QA). Conduct meaningful 1:1s and guide their career paths.Foster Culture: Cultivate a psychological safety environment where "Security" is a shared mindset, not just a checklist.Collaborate: Partner with Product & Database Engineers to to optimize security, performance, and capacity planning for Azure SQL and Cosmos DB. Collaborate closely with the BA/Tester on requirements and testing, in alignment technical solutions with business goals. 3. DevSecOps & DeliveryAutomate Everything: Architect robust CI/CD pipelines via Azure DevOps (YAML); Oversee the end-to-end delivery process, ensuring compliance with security standards throughout the pipeline. Architect and champion robust CI/CD pipelines using Azure DevOps (Pipelines/YAML) for automated builds, testing, and deployment; If it’s repetitive, we automate it.Security Champion: Proactively manage security postures (scanning, pen-testing results) and integrate security into the earliest stages of the SDLC in a timely manner.

Develop and maintain Python-based applications and systems with a focus on machine learning frameworks (PyTorch, TensorFlow).Design and implement ML models that support business and technical requirements for performance, scalability, and efficiency.Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.Optimize algorithms and neural networks for accuracy and cost-effectiveness.Implement best practices for code quality, testing, and deployment using version control and CI/CD tools.Ensure reliability of ML pipelines, data preprocessing, and model deployment workflows.Provide internal documentation and training to share Python/ML knowledge across teams.Stay up to date with Python ecosystem, ML frameworks, and emerging AI technologies.

Key ResponsibilitiesOwn the product or product line and define a clear product vision aligned with business objectives.Develop and maintain product strategies and roadmaps.Drive product evolution through data analysis, user feedback, and continuous improvement.Define, monitor, and validate product KPIs to measure success.Facilitate discovery workshops (Service Design, Product Design, Persona definition, MVP scoping, Inception Deck).Develop and present Inception Decks to align stakeholders and development teams.Explain product context, target users, and market positioning to the engineering team.Create User Story Maps and define Minimum Viable Products (MVPs).Plan releases and manage iteration/time-box planning.Own and manage the Product Backlog (prioritization, refinement, requirement listing).Translate business requirements into structured epics, user stories, and detailed acceptance criteria, considering: Data flow and dependencies / Edge cases / Non-functional requirements (performance, scalability, security)Work closely with engineers to clarify requirements, review proposed solutions, and ensure technical feasibility without over-engineering.Ensure backlog items are clearly understood and adjusted promptly when necessary.Conduct User Acceptance Testing (UAT) and validate delivered features against functional and technical acceptance criteria.Translate requirements into wireframes and user flows where needed.Collaborate with UI/UX designers to ensure usability, visual consistency, and alignment with the Design System.Act as the key communication bridge between business stakeholders and the development team.Regularly communicate product progress, risks, and outcomes to business stakeholders.Align expectations and negotiate scope when necessary. 

Design scalable and robust architecture solutions, including software, hardware, and network components.Assess whether current systems can be upgraded or require new features/functions.Develop detailed technical specifications and architecture diagrams.Evaluate existing systems and recommend improvements or enhancements.Ensure solutions are aligned with enterprise architecture standards and comply with security and regulatory requirements.Lead technical discussions and provide guidance to development teams throughout the project lifecycle.Conduct risk assessments and develop mitigation strategies for technical issues.Manage group or project team to achieve the defined objectivesCommunicate with customers / vendors / other contractor on requirements, schedule, technical solution, etc.

We are seeking an experienced AWS Network Engineer to join our IT team and play an important role in designing, implementing, and maintaining our cloud-based network infrastructure. This position requires a strong background in cloud networking and hands-on experience in designing and implementing AWS Cloud network solutions.Duties and responsibilitiesDesign, implement, and support AWS Networks, including VPCs, subnets, route tables, security groups, and other network resources.Configure and manage network services such as VPC peering, Transit Gateways, elastic load balancing,  VPN Connections, Direct Connect.Configure and support AWS WAF and third party firewallsCollaborate with DevOps and development teams on network related issuesImplement and support network monitoring, logging, and alerting solutions to ensure timely detection and resolution of networking issuesConduct regular network security assessments and implement best practicesTroubleshoot network related issues, perform root cause analyses, and implement corrective actionsDocument network designs, configurations, and procedures, and provide support to other team members as needed.

As a Senior Manager, you will define business plans for your group and lead offshore business activities, including sales support, opportunity analysis, pre-study, implementation, and upgrade projects for both existing and new customers. This is a key leadership role responsible for managing a group of managers, ensuring smooth offshore operations, achieving business targets, and overseeing projects end-to-end with a strong focus on quality, delivery, and contractual compliance.  Lead and manage offshore delivery teams across multiple projects, with a total team size of over 50 members, including business partners.Execute business strategy by business domain and prepare customer strategy by business domain, aligned with division and company objectives, including mid-term plan and demand changes.Ensure projects are delivered with high quality, on time, within budget and scope.Define countermeasures and action items with proper priority to achieve delivery performance, including quality, risks, changes, and financial status, and report to division leadership.Act as a key escalation point for delivery and customer-related issues.Maintain effective communication with customers (especially Japanese clients) and internal stakeholders.Build, mentor, and develop managers and key members through performance management and career development.Drive continuous improvement of delivery processes, quality standards, and operational KPIs.Conduct pre-sales, estimation, and proposal, including reviews for team members.Take on additional responsibilities to support operational and organizational improvement.

The RoleWe are seeking a Full Stack Machine Learning Engineer who sits at the intersection of Data Science and Software Engineering. You will not just build models but also design the systems that run them. This is a hands-on role for a builder who cares about code quality, system scalability, and the business domain. You will lead the design and implementation of production-grade ML systems, ensuring our models are robust, scalable, and impactful.Key ResponsibilitiesProduction-Grade Systems: Build and maintain high-scale ML pipelines using big data technologies (Spark, BigQuery, Delta Lake). You will write production-ready code that is reliable, testable, and maintainable.Platform & Infrastructure: Leverage modern ML platforms like Vertex AI or Databricks to orchestrate workflows. Optimize models for both batch/offline training and real-time/streaming inference with a focus on low latency.Domain Deep Dive: Go beyond the algorithms. Deeply understand the specific domain challenges (e.g., fraud detection, location spoofing) to engineer better features and network-level intelligence.Engineering Excellence: Champion best practices in software engineering, including CI/CD, automated testing, code reviews, and documentation. You will ensure our ML systems are built to software engineering standards, not just research scripts.Technical Leadership: Act as a technical lead for projects, defining milestones and ensuring on-time delivery. Mentor Data Scientists on engineering best practices and collaborate with other engineers to integrate models into the wider platform.

As an Automation Test Engineer, you will be responsible for ensuring the quality and reliability of enterprise applications through automation testing. Your role will involve developing and maintaining automated test scripts, integrating with test management tools, and conducting thorough reviews of test cases. You will work closely with other team members to identify and resolve defects, performing root cause analysis and improving defect management processes. Your focus will be on large-scale applications that include various front-end technologies such as WPF, web-based interfaces, and backend components, including databases, web services, and messaging systems.In this position, you will apply your expertise in C# and object-oriented programming to build and optimise automation frameworks. You will be involved in testing web services and REST APIs, utilising tools like Selenium, XUnit, and Postman. Additionally, you will work with service testing tools such as Fiddler, SOAP UI, and JSON Lint to ensure comprehensive test coverage. Your role will require close collaboration within an Agile development environment, contributing to the overall quality of software releases and improving automation strategies over time.

MÔ TẢ CÔNG VIỆC CHÍNH• Tìm kiếm và phát triển mạng lưới khách hàng đến từ tất cả các quốc gia khác nhau trên thế giới thông qua các kênh.• Giới thiệu, tư vấn, thuyết phục các đối tượng khách hàng để họ mua các sản phẩm của doanh nghiệp mình.• Chăm sóc, duy trì mối quan hệ tốt với khách hàng và giải quyết các vấn đề, vướng mắc của khách hàng để luôn đảm bảo được sự tin cậy, hài lòng của khách hàng.• Tạo đơn hàng, tiếp nhận, đối chiếu hồ sơ hàng hóa để đảm bảo đúng - đủ số lượng và chất lượng thực tế theo như đơn đặt hàng của khách.• Quản lý, theo dõi đơn hàng, phối hợp với các bộ phận liên quan để đảm bảo khách thanh toán đủ công nợ và lịch giao nhận hàng đúng tiến độ.• Thực hiện các báo cáo và chỉ số KPI mà công ty đã đề ra cũng như các yêu cầu khác từ cấp trên.

Building, maintaining and optimizing automated pipelines for ML includes data versioning, automated retraining, and drift monitoring.Using frameworks (e.g., Spark) to train models on massive datasets (terabytes of user behavior data).Implement data validation checks and point-in-time feature logicBuilding and maintaining high-throughput, low-latency APIs to serve model predictionsSet up alerting for system latency and uptime.Work with Data Engineers and Data Analyst to ingest, clean and transform data into ML-ready format

At Base, Fullstack Engineer is more than Frontend & Backend. This is the path for engineers to grow rapidly into Product Engineers - professionals who understand the problem, design the solution, and take full ownership of the products they build.You will be involved in the entire product development lifecycle, including:Understand user and business problemsAnalyze real user needs and business contextsAnswer the core question: Why does this feature need to be built?Design product and technical solutionsParticipate in proposing and discussing: Business logic & Technical solutions aligned with the product contextEvaluate trade-offs between: Code quality; Performance; ScalabilityBuild products as a Fullstack EngineerDevelop Frontend, Backend, and related componentsEnsure: High-quality, maintainable code; Product stability and scalability at production scaleProduct ownership and responsibilityTake ownership of one or more modules or features, including: Monitoring performance; Analyzing usage data; Listening to and responding to user feedbackProactively propose improvements based on data and real-world usageLearn and grow with the teamParticipate in code reviews and technical discussionsBe mentored by experienced Product Engineers and Tech LeadsContinuously develop your: Engineering skills; Product mindse; System thinkingTrue Engineers don’t just write code. They build products - and grow their careers through the products they build.

Develop and maintain Python-based applications and systems with a focus on machine learning frameworks (PyTorch, TensorFlow).Design and implement ML models that support business and technical requirements for performance, scalability, and efficiency.Collaborate with cross-functional teams to integrate AI/ML solutions into products and services.Optimize algorithms and neural networks for accuracy and cost-effectiveness.Implement best practices for code quality, testing, and deployment using version control and CI/CD tools.Ensure reliability of ML pipelines, data preprocessing, and model deployment workflows.Provide internal documentation and training to share Python/ML knowledge across teams.Stay up to date with Python ecosystem, ML frameworks, and emerging AI technologies.

(Giao tiếp bằng tiếng Nhật)Điều Phối Nhân Sự:Tổ chức và phân bổ công việc cho đội ngũ thực hiện dự án theo chỉ đạo từ cấp quản lý người Nhật.Duy trì sự phối hợp hiệu quả giữa các nhóm và bộ phận liên quan trong dự án.Giám Sát Dự Án:Xây dựng kế hoạch, kiểm tra tiến độ, và đảm bảo chất lượng đầu ra của dự án theo đúng lộ trình đã cam kết.Chủ động xử lý các vấn đề phát sinh, quản lý rủi ro, và thích nghi với những thay đổi trong suốt quá trình thực hiện.Đảm bảo dự án hoàn tất và được bàn giao đúng yêu cầu khách hàng.Liên Lạc và Hợp Tác:Là đầu mối chính trong việc liên hệ với onsite, khách hàng, và các phòng ban nội bộ.Đảm bảo thông tin được truyền đạt chính xác và kịp thời giữa các bên.

MÔ TẢ CÔNG VIỆC:Chúng tôi đang tìm kiếm một nhân sự chủ chốt nắm giữ vai trò quản lý nhóm phát triển Technical Lead. Bạn sẽ là người chịu trách nhiệm chính về mặt thiết kế kỹ thuật, vận hành hệ thống Microservices trên nền tảng Kubernetes, đồng thời quản lý tiến độ và quy trình phát triển của team. TRÁCH NHIỆM CHÍNH (Key Responsibilities)Lập kế hoạch & Quản lý tiến độ: Lên kế hoạch Sprint, phân chia task (trên Jira/TFS/GitHub Projects), và đảm bảo team deliver đúng hạn.Quản lý rủi ro: Nhận diện sớm các rủi ro kỹ thuật (Technical Debt) và rủi ro dự án để có phương án xử lý.Cầu nối thông tin: Làm việc trực tiếp với Product Owner/Stakeholders để chuyển đổi yêu cầu kinh doanh (Business Requirements) thành yêu cầu kỹ thuật (Technical Specs).Thiết kế & Vận hành hệ thống: Chịu trách nhiệm về kiến trúc hệ thống dựa trên Kubernetes Cluster. Quản lý các thành phần: Ingress, Services, Pods, và chiến lược Auto-scaling.Quản lý hạ tầng & Dữ liệu: Thiết kế và tối ưu hóa các giải pháp lưu trữ dữ liệu bao gồm SQL/NoSQL (cấu hình Replication/Sharding), Object Storage, và Redis Cache.DevOps & CI/CD: Xây dựng và duy trì quy trình tự động hóa (CI/CD Pipeline) sử dụng Jenkins, Docker, và Helm Charts. Đảm bảo quy trình từ Code Commit (GitHub/TFS) đến Deploy diễn ra trơn tru.Giám sát & Tối ưu (Observability): Thiết lập hệ thống monitoring và logging tập trung sử dụng stack Prometheus, Grafana, Elastic Search (ELK stack) để đảm bảo tính ổn định (High Availability) của hệ thống.Review Code & Mentor: Thực hiện Code Review, hướng dẫn các thành viên giải quyết các bài toán khó về kỹ thuật.

Nghiên cứu tài liệu yêu cầu (BRD/FS), tài liệu thiết kế để hiểu rõ chức năng cần kiểm thử.Thiết kế test case, test scenario cho các chức năng, form nghiệp vụ.Thực hiện kiểm thử:Functional TestingRegression TestingRe-test sau khi fix bugThực hiện log lỗi trên hệ thống quản lý bug (Redmine hoặc tương đương).Theo dõi tiến độ xử lý lỗi và xác nhận kết quả fix.Kiểm tra dữ liệu hệ thống bằng SQL để đảm bảo đúng theo thiết kế.Test API bằng Postman.Phối hợp với Dev, BA trong quá trình làm rõ lỗi và xác nhận yêu cầu.