Job Description

Requirements

7+ years of experience with Python Strong expertise in Python frameworks (Django, Flask, or FastAPI) Experience with GCP, Terraform, and Kubernetes Deep understanding of REST API development and GraphQL Strong knowledge of SQL and NoSQL databases Experience with microservices architecture Proficiency with CI/CD tools (Jenkins, CircleCI, GitLab) Experience with container orchestration using Kubernetes Understanding of cloud architecture and serverless computing Experience with monitoring and logging solutions Strong background in writing unit and integration tests Familiarity with AI/ML concepts and integration points

Responsibilities

Design and develop scalable backend services for our AI platform Architect and implement complex systems with high reliability Build and maintain APIs for internal and external consumption Work closely with AI engineers to integrate ML functionality Optimize application performance and resource utilization Make architectural decisions that balance immediate needs with long-term scalability Mentor junior engineers and promote best practices * Contribute to the evolution of our technical standards and processes