Application Backend Engineer – Python, Async Systems & High-Performance Data Processing

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Application Backend Engineer – Python, Async Systems & High-Performance Data Processing

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

The role involves designing and developing high-performance backend services using Python and FastAPI. You will build highly concurrent applications utilizing asyncio and asynchronous programming patterns. You will develop and optimize RESTful APIs using FastAPI, Uvicorn, and Gunicorn. You will process and transform large datasets efficiently using Apache Arrow (PyArrow), design, optimize, and maintain analytical workloads using ClickHouse, and build scalable, containerized applications deployed on Kubernetes. Additional responsibilities include optimizing application performance, memory usage, and I/O for high-throughput environments, implementing monitoring, logging, health checks, and observability for production systems, collaborating with infrastructure and platform teams to improve deployment automation and system reliability, and participating in architecture design, code reviews, and technical decision-making.

Requirements

The successful candidate will have 5+ years of professional Python backend development experience, extensive experience with asynchronous programming using asyncio, and strong expertise with FastAPI and production deployments using Uvicorn and Gunicorn. You should have experience with Apache Arrow (PyArrow) for high-performance in-memory data processing, knowledge of columnar data formats (Arrow, Parquet) and efficient data serialization, and 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, and experience with Docker, CI/CD pipelines, automated testing, and modern software development practices are required.

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, and understanding of distributed computing, parallel processing, and high-availability system design.

Salary: around 4000 EUR (B2B / Net)

Company: 31C

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