What are the responsibilities and job description for the Python Backend Engineer position at Empower Professionals?
Job Details
Role: Python Backend Engineer
Location: Bellevue, WA (Hybrid)
Duration: 12 Months
Description:
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.
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.
Requirements:
- 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.