Role: Python Backend Engineer
Location: Bellevue WA (Hybrid)
We are seeking a highly skilled Backend Engineer to join our 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.
- Familiarity with RAG (AI/LLM) integration or working in AI-augmented backend environments is a plus.
- Knowledge of cloud platforms (AWS Azure or GCP) 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.
Role: Python Backend Engineer Location: Bellevue WA (Hybrid) We are seeking a highly skilled Backend Engineer to join our project team. The ideal candidate will have strong expertise in Python-based backend development building and optimizing microservices and ensuring seamless data integration ...
Role: Python Backend Engineer
Location: Bellevue WA (Hybrid)
We are seeking a highly skilled Backend Engineer to join our 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.
- Familiarity with RAG (AI/LLM) integration or working in AI-augmented backend environments is a plus.
- Knowledge of cloud platforms (AWS Azure or GCP) 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.
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