Backend Engineer-Python-Onsite interview-Bellevue WA (Hybrid)

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Role: Backend Engineer

Location: Bellevue WA (Hybrid)

We are seeking a highly skilled Backend Engineer to join our T-Mobile project team. The ideal candidate will have strong expertise in Python-based backend development, building and optimizing microservices, and ensuring seamless data integration and performance at scale. The role involves working on enterprise-grade systems supporting high availability, low latency, and large-scale data operations.

Key Responsibilities:

• Design, develop, and maintain scalable backend microservices using Python and Flask.
• Integrate and optimize APIs, ensuring high performance and responsiveness.
• Deploy and manage applications using Gunicorn and containerized environments.
• Work closely with frontend, data, and DevOps teams to deliver end-to-end solutions.
• Implement data storage and caching mechanisms using MySQL, Redis, and Memcache.
• Develop and maintain data processing logic using NumPy, Pandas, and PyMySQL for analytics and reporting modules.
• Ensure code quality, security, and performance tuning across backend services.
• Participate in code reviews, unit testing, and CI/CD pipeline integration.
• Troubleshoot production issues and perform root cause analysis for performance bottlenecks.
  
  

Required Technical Skills:

• Programming: Python (Flask framework), strong knowledge of RESTful API design
• Web Server: Gunicorn / uWSGI
• Database: MySQL, PyMySQL
• Caching: Memcache, Redis
• Data Processing: NumPy, Pandas
• Architecture: Microservices-based application design
• Version Control: Git / GitHub
• Testing: Unit Testing, PyTest or similar frameworks
• Deployment: Experience with Docker, CI/CD (Jenkins, GitLab CI), basic knowledge of Kubernetes preferred
  
  

Preferred Qualifications:

• Experience in large-scale telecom or enterprise environments (T-Mobile or similar domains).
• Familiarity with RAG (AI/LLM) integration or working in AI-augmented backend environments is a plus.
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) for deployment and scalability.
• Strong problem-solving skills and ability to collaborate across multi-functional teams.
  
  

Soft Skills:

• Strong communication and teamwork abilities.
• Ability to work in an agile, fast-paced environment.
• Analytical mindset with attention to detail.