Application Backend Engineer

Компания: 31C

Локация: Баку и Дубай

Формат работы: Удаленно

Зарплата: 3000-5000 EUR

Не нанимаем из РФ и РБ.

About the Role

We are looking for an Application Backend Engineer with expertise in Python, asynchronous programming, high-performance APIs, and scalable backend systems. The ideal candidate will design and build high-throughput backend services, optimize large-scale data processing pipelines, and develop cloud-native applications capable of handling demanding enterprise and telecom workloads.

Key Responsibilities

• Design and develop high-performance backend services using Python and FastAPI.
• Build highly concurrent applications utilizing asyncio and asynchronous programming patterns.
• Develop and optimize RESTful APIs using FastAPI, Uvicorn, and Gunicorn.
• Process and transform large datasets efficiently using Apache Arrow (PyArrow).
• Design, optimize, and maintain analytical workloads using ClickHouse.
• Build scalable, containerized applications deployed on Kubernetes.
• Optimize application performance, memory usage, and I/O for high-throughput environments.
• Implement monitoring, logging, health checks, and observability for production systems.
• Collaborate with infrastructure and platform teams to improve deployment automation and system reliability.
• Participate in architecture design, code reviews, and technical decision-making.

Requirements

• 5+ years of professional Python backend development experience.
• Extensive experience with asynchronous programming using asyncio.
• Strong expertise with FastAPI and production deployments using Uvicorn and Gunicorn.
• Experience with Apache Arrow (PyArrow) for high-performance in-memory data processing.
• Knowledge of columnar data formats (Arrow, Parquet) and efficient data serialization.
• Experience building scalable RESTful APIs and backend services.
• Hands-on experience with ClickHouse for analytical or high-volume data workloads.
• Experience deploying and operating applications on Kubernetes (K8s).
• Strong understanding of distributed systems, scalability, and performance optimization.
• Experience with Docker, CI/CD pipelines, automated testing, and modern software development practices.

Nice to Have

• Experience with streaming or event-driven architectures.
• Familiarity with observability tools such as Prometheus, Grafana, and OpenTelemetry.
• Experience working with large-scale analytics, telemetry, or telecom platforms.
• Understanding of distributed computing, parallel processing, and high-availability system design.

Откликнуться: @artem_avsievich