Senior Engineer
Experience Range: At least 2 to 4 years of hands-on experience in Python fullstack development, including substantial work with microservices architecture Key Responsibilities:
Design and develop scalable microservices using Python frameworks such as Django, Flask, or FastAPI
Implement and maintain robust REST APIs and GraphQL endpoints to support seamless frontend and backend integration
Collaborate with frontend engineers to deliver high-quality user experiences using React, React Context, and Redux
Integrate and optimize databases including PostgreSQL, MongoDB, and Redis for efficient data management
Build, test, and deploy applications leveraging CI/CD pipelines, Docker containers, and Kubernetes orchestration
Write comprehensive unit and integration tests using PyTest to ensure code quality and reliability
Enhance application interfaces with CSS, SCSS, or LESS for responsive and visually appealing design
Troubleshoot, debug, and resolve technical issues across the full stack to maintain optimal system performance
Required Skills:
Python programming with advanced application in fullstack environments
Django, Flask, or FastAPI frameworks for microservices development
REST API and GraphQL design and implementation
Microservices architecture design and deployment
React development, including React Context and Redux
CSS, SCSS, and LESS for frontend styling
CI/CD pipeline setup and management
Containerization with Docker and orchestration using Kubernetes
Database integration and management with PostgreSQL and MongoDB
Test automation using PyTest
Preferred Skills:
Advanced caching strategies and performance optimization with Redis
Performance tuning for large-scale microservices
Familiarity with cloud platforms such as AWS or Azure
Security best practices for API development
Experience with monitoring and logging tools (e.g., Prometheus, ELK stack)
Desired Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a closely related discipline
Certification in Python development or web frameworks (such as Django or Flask)
Certification in containerization or cloud technologies (e.g., Docker Certified Associate, Certified Kubernetes Administrator)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
