Python Backend Engineer

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - 12+ Month(s)

Skills

Kubernetes
API
Python
jenkins
Operations
docker
MySQL
GCP
Amazon Web Services
Continuous Integration/Delivery
DEV OPS
Git
Application Design
Deployment
Unit Testing
GitHub
Data Integration
Gitlab
Database
Redis
Performance Tuning
Microservice
Problem-Solving
Large-Scale
Pytest
Caching
Root Cause Analysis
Backend Service
Pipeline
WEB Server
Maintain Data
Memcache

Job Details

Role: Python Backend Engineer

No. of Positions - 1

Location: Bellevue, WA (Hybrid Onsite)

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 optimising 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.
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.