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High-Performing Python Application Specialist
2 weeks ago
This is a mid-to-senior level position for an experienced software developer to work with Python in the development of event-driven ETL workflows.
About the Role- We are seeking a highly skilled and experienced Python developer to join our team and contribute to the development of robust, long-running daemon processes that handle high-reliability, event-driven ETL workflows without local data persistence.
- Design and implement advanced daemon coding using Python, ensuring high performance, fault tolerance, and stateless design.
- Build and manage API-driven ETL pipelines that integrate multiple APIs, dynamically transforming and routing data between systems in real time.
- Collaborate with infrastructure teams to ensure CI/CD pipelines, observability, automated testing, and logging meet enterprise standards.
- Maintain high standards of code structure, documentation, and automated testing, producing solution and code level architecture and operational documentation for maintainability.
- Continuously monitor and optimise system performance, logging, exception handling, and service availability in a production environment.
- Advanced Python Development: Strong expertise in Python with an emphasis on daemon architecture, threading, asynchronous programming, signal handling, and memory-efficient coding practices.
- Daemon Lifecycle Management: Proven experience building and maintaining daemon processes, including error recovery, resource management, and graceful shutdown.
- Cloud-Native DevOps Skills: Proficiency with Docker, container orchestration, CI/CD (GitHub Actions), and managing infrastructure via code.
- Asynchronous Programming: Solid understanding of asyncio, aiohttp, or equivalent libraries for building non-blocking, event-driven applications.
- API Integration: Extensive experience with RESTful APIs, including handling authentication, pagination, retries, rate limits, and failure scenarios.
- Source Control & Collaboration: Proficiency with Git, pull requests, and code reviews in an enterprise environment.
- Testing & Automation: Experience with unit testing, mocking APIs, integration tests, and automated deployment pipelines.
- Monitoring & Logging: Familiarity with tools like Prometheus, Grafana, ELK/EFK stacks, or Azure Monitor for daemon health tracking.
- Leadership & Mentorship: Ability to guide technical decisions, mentor junior developers, and lead by example in code quality and software design.
- Problem Solver: Analytical thinker who excels at debugging, system analysis, and improving existing architecture.
- Continuous Learner: Open to new technologies, best practices, and evolving DevOps and cloud trends.