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Mô Tả Công Việc
Key ResponsibilitiesDesign & implement scalable backend architectures using Python (FastAPI, Flask, or Django).Build and optimize AI-powered backend services, integrating models and inference pipelines with minimal latency.Develop and manage cloud infrastructure on Azure (AKS, App Services, Azure Functions, Azure Storage, etc.).Implement task orchestration and parallel computing workflows using multithreading, multiprocessing, and asynchronous execution for compute-intensive workloads.Design auto-scaling mechanisms to dynamically allocate compute resources (VMs, containers, GPUs) based on workload or active users.Integrate and optimize databases (PostgreSQL, Redis, or similar) for data persistence, caching, and fast retrieval.Collaborate with AI and FE engineers to deploy and serve machine learning models efficiently (batch or real-time inference).Monitor and troubleshoot performance bottlenecks, ensuring uptime, fault tolerance, and system reliability.Contribute to DevOps and CI/CD pipelines, automating deployment and testing workflows.Mentor junior engineers and review code for best practices and maintainability.
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Yêu Cầu Công Việc
QualificationsMust Have5+ years of backend development experience, with at least 3 years in Python (FastAPI, Flask, or Django).Strong understanding of object-oriented programming and software architecture patterns (e.g., microservices, event-driven systems).Hands-on experience with Azure Cloud Services (AKS, Web App, App Service, VM scaling, Azure Blob Storage).Experience in parallel and distributed processing (multithreading, multiprocessing, async I/O, Celery, Ray, Dask, etc.).Solid experience with auto-scaling infrastructure (compute scaling, load balancing, or container orchestration).Experience integrating AI models or services (e.g., chatbot backends, image recognition APIs, or ML inference systems).Solid experience with PostgreSQL and query optimization.Familiarity with RESTful APIs, WebSocket, and microservice communication patterns.Knowledge of Git, Docker, CI/CD pipelines, and unit testing frameworks (pytest, unittest).Nice to HaveFamiliarity with GPU scheduling or AI inference optimization (ONNX Runtime, TensorRT, etc.).Experience with message queues (RabbitMQ, Kafka, Azure Service Bus).Experience with infrastructure-as-code (Terraform, Bicep, or ARM templates).Exposure to monitoring and logging systems (Prometheus, Grafana, Azure Monitor, ELK).Basic understanding of AI/ML lifecycle, including model deployment, serving, and monitoring.
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Hình thức
Full-time
Quyền Lợi
We are looking for a Senior Backend Engineer with strong Python experience and a solid understanding of AI-driven systems. You will be responsible for designing, developing, and optimizing high-performance backend systems that power large-scale AI applications — such as chatbots, vision-based analytics, and cloud-based inference pipelines.The ideal candidate has experience with parallel computation, cloud scaling (Azure), and system reliability, ensuring our services remain efficient and responsive even under heavy workloads.
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