Job Summary (Backend Engineer - Python)

- Design, develop, and maintain scalable backend microservices using Python and Flask.
- Build and optimize RESTful APIs for high performance and responsiveness.
- Work with data processing libraries such as Pandas and NumPy.
- Develop analytics and reporting modules using PyMySQL, Pandas, and NumPy.
- Integrate and manage applications in containerized environments (e.g., Docker) using Gunicorn.
- Implement data storage and caching solutions with MySQL, Redis, and Memcache.
- Collaborate with frontend, data, and DevOps teams for end-to-end solution delivery.
- Ensure code quality, security, and performance tuning of backend services.
- Participate in code reviews, unit testing, and continuous integration/continuous deployment (CI/CD) pipelines.
- Troubleshoot production issues and conduct root cause analysis for performance bottlenecks.
- Work onsite in a hybrid model (4 days/week) in Bellevue, WA.