Basic knowledge of reverse proxy / API gateway (e.g. Nginx), SSL/TLS, domain configuration.
Core Knowledge: Strong understanding of Object- Oriented Programming (OOP): classes, interfaces, abstract classes, inheritance, polymorphism, encapsulation.
Comfortable reading technical documents in English (no verbal requirement).
Working hours: Mon to Fri.
RESTful API: Strong understanding of RESTful architecture and how to design clear, stateless, scalable APIs.
Additional Must- Have Skills: Version control with Git (branching strategy, pull requests, code review).
AI Knowledge (Basic knowledge of AI is required; hands- on experience is not mandatory): Experience with Python, including basic syntax, virtual environments (venv/conda), and package management (pip).
Able to read, understand, and optimize database queries (SQL Server / PostgreSQL / MongoDB… depending on the system).
Ability to analyze time and space complexity using Big- O notation.
Ability to deploy or integrate AI services or models into .NET systems via REST or gRPC.
Onsite Da Nang.
Experience deploying backend services to production environments (on- premise servers or cloud platforms).
Clear understanding of end- to- end request flow: client request → routing/controller → validation → business/service layer → repository/data access → database/external service → response (with proper status codes such as 200, 201, 400, 401, 403, 404, 500…).
Experience designing request/response DTOs, pagination, filtering, sorting.
Experience with .NET: Experience working with .NET / .NET Core, preferably .NET 8.
Experience writing and reading API documentation (Swagger / OpenAPI).
Knowledge of common backend design patterns: Repository, Dependency Injection, Factory, CQRS, etc.
Experience with intelligent APIs, including recommendation, classification, semantic search, or data analysis.
Proficient in C, ASP.NET Core Web API.
Ability to design and organize code following SOLID principles, clean code, and maintainable architecture.
Familiar with Dependency Injection, Middleware pipeline, Configuration, and Logging in .NET.
Experience with Docker (writing Dockerfile for .NET services, building images, running containers).
Mastery of HTTP methods (GET, POST, PUT, PATCH, DELETE…) and correct usage.
Able to configure and read service logs in Linux environments (journalctl, docker logs, etc.).
Basic API security mindset: input validation, rate limiting, avoiding exposing sensitive information in logs.
Basic knowledge of authentication/authorization (JWT, API key, header validation).
Experience with Entity Framework Core or similar ORM; understanding of migrations, tracking/no- tracking, transactions.
Algorithms & Optimization Mindset: Solid understanding of basic data structures and algorithms: array, list, dictionary/map, tree, graph, queue, stack, hashing, etc.
Basic understanding of Natural Language Processing (NLP), Computer Vision, and Machine Learning pipelines.
Strong debugging skills and issue tracing through logs.
Able to monitor and troubleshoot backend services (timeout, memory leak, high CPU, connection pool issues, etc.).
Familiar with common AI/ML tools and frameworks such as TensorFlow, PyTorch, OpenAI API, Hugging Face Transformers, or LangChain.
Development & Operations (DevOps): Understand basic CI/CD processes: build, test, containerize, deploy.
English is not required (verbal communication).
Capable of choosing appropriate solutions for real- world performance problems (e.g. large data paging, caching, batch processing).
