Python Developer with RAG (AI/LLM) @Bellevue WA (F2F Interview)

Qualifications

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

Responsibilities

• The role involves working on enterprise-grade systems supporting high availability, low latency, and large-scale data operations
• 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

Full Description

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.