Senior Principal Python Engineer at KloudOpp Limited
Confidential
Publiée il y a 1 mois · Expire dans 2 semaines
Description du poste
About the Role
We are hiring a world-class Senior Principal Python Engineer with deep expertise across the full Python ecosystem—including Python 2.7, Python 3.6 → 3.12, modern async frameworks, distributed computing tools, and advanced backend architecture.
This role requires an engineering leader who has architected and delivered cloud-native microservices, secure enterprise platforms, complex business-logic–driven systems, and data-intensive solutions across FinTech, HealthTech, Logistics, and Blockchain environments.
The ideal candidate is hands-on, experienced with live production systems, and highly skilled in teaching, mentoring, and communicating architecture decisions. This position offers excellent opportunities for career growth.
Key Requirements
- Security background check and rigorous technical assessment required
- GitHub repositories demonstrating real engineering work
Core Responsibilities
Architecture & Engineering
- Architect and implement enterprise-grade microservices using Python (async and sync)
- Design secure, scalable modern monolithic systems when domain cohesion is required
- Apply Domain-Driven Design (DDD), Event-Driven Architecture, Clean Architecture, and distributed system patterns
- Build systems with advanced Python capabilities including concurrency, parallelism, multiprocessing, async IO, and event loops
Backend Frameworks & Services
Demonstrated mastery in at least one of the following:
- Django / Django REST Framework
- FastAPI
- Flask
- Tornado
- AIOHTTP
- Celery / RQ / Dramatiq for distributed tasks
- PyTorch, TensorFlow (optional but valuable for ML-heavy roles)
Cloud, Infrastructure & DevOps
- Build and deploy Python services on AWS, Azure, or GCP
- Implement CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform / Helm)
- Ensure observability with logs, metrics, tracing, and incident response best practices
Data Engineering & Storage
- Work hands-on with SQL and NoSQL systems
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