Senior Python Backend Engineer (Cloud, Management & Data Engine)

We are looking for a top-of-the-line Senior Python Backend Engineer to develop state-of-the-art enterprise platforms, cloud solutions, and data engines. In this role, you will design mission-critical, high-availability distributed systems, build advanced APIs, and deploy software across diverse cloud and infrastructure ecosystemsTeams:Management Team: Enterprise Control Panel: Builds the end-to-end REST-to-RPC API pipeline to process complex client requests.

Core Infrastructure: Manages storage, network, and virtualization layers, utilizing concurrent Python for cluster deployments and system upgrades.Data Engine Services: focuses on a modern cloud-native ecosystem, demanding specialization in Kubernetes orchestration, event-driven architectures, and asynchronous Python (FastAPI/Async I/O)Cloud Team: focuses on cloud-hosted SaaS platforms, bridging low-level Python system architecture with multi-cloud deployments across major hyper-scalers (AWS, Azure, GCP).Requirements: Python Mastery: Proven, extensive server-side Python programming expertise.Architecture &

• Scale: Strong background in building enterprise-grade, cloud-operated, or high-scale distributed systems with complex high-availability mechanisms.API Development: Hands-on experience designing, scaling, and operating robust REST APIs and control planes.Data &
• Linux: Proficiency working in Linux environments, database modeling/management, and robust integration testing within CI/CD pipelines.Mindset: A fast learner, dedicated team player, and accurate system designer with exceptional coding capabilities.Advantages / Nice-to-Have (Depending on specific team focus):Cloud: Experience deploying workloads on major Hyper-scalers (AWS, Azure, GCP).Concurrency &
• Frameworks: Familiarity with either low-level Python concurrency (multi-threading/multi-processing) or modern Async frameworks (FastAPI, Async I/O, Pydantic).Infrastructure &
• Events: Background in virtualization/storage/network management systems, event-driven architectures (e.g., Kafka), or serverless workloads.This position is open to all candidates.