Senior Backend Engineer
6 days ago
- Competitive Salary & Benefits
- Training course and certificates
- The preferences when using the services of the Vin
Key Responsibilities
- Design & 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.
Qualifications
Must Have
- 5+ 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 Have
- Familiarity 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.
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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