- Design, develop, and optimize robust backend APIs using Python and FastAPI frameworks.
- Implement scalable and efficient solutions leveraging AWS cloud services and Kubernetes orchestration.
- Architect and deploy secure, high-performance real-time systems utilizing WebSockets and message queues.
- Collaborate with other engineers and cross-functional stakeholders to deliver technical excellence and innovative solutions.
- Review and refactor legacy codebases to improve maintainability, performance, and scalability.
- Maintain detailed documentation, ensuring clarity for both internal and external teams.
Requirements:
- Have expert-level proficiency in Python with a robust background in backend development.
- Have in-depth experience with AWS services and cloud-based application deployment.
- Have hands-on expertise in building APIs with FastAPI and implementing real-time features using WebSockets.
- Have strong knowledge of Kubernetes for container orchestration and microservices management.
- Have a solid understanding of message queues and event-driven architecture.
Application Process:
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage