Ranking: 36
Design, develop, and maintain Python-based microservices and AWS Lambda functions for the GenAI Gateway project.
Implement secure communication mechanisms between architectures using mTLS, security tokens, digital certificates, and identity encryption.
Ensure low-latency performance and high reliability in all developed components.
Support incident resolution and system optimization in production environments.
Collaborate with cross-functional teams to ensure architectural integrity and scalability.
2+ years of backend development experience using Python (v3.11 / v3.12).
Expertise in FastAPI for microservices development.
Deep understanding of secure communication protocols (mTLS, token-based security, certificates, encryption).
Proficiency with Python ecosystem tools: httpx, async/asyncio, uv, Ruff, pyTest, and related frameworks.
Strong grasp of software design patterns, clean code principles, and testing best practices.
Experience in containerization (Docker – creation and execution).
Hands-on experience with AWS services: CloudWatch, X-Ray, AppRunner/Fargate, Lambda, DynamoDB (NoSQL).
Familiarity with CI/CD pipelines using Git, Jenkins, and SonarQube.
Knowledge of LLM (Large Language Model) libraries and AI integration frameworks.
Experience optimizing latency and resilience in distributed architectures.
Design, develop, and maintain Python-based microservices and AWS Lambda functions for the GenAI Gateway project.
Implement secure communication mechanisms between architectures using mTLS, security tokens, digital certificates, and identity encryption.
Ensure low-latency performance and high reliability in all developed components.
Support incident resolution and system optimization in production environments.
Collaborate with cross-functional teams to ensure architectural integrity and scalability.
2+ years of backend development experience using Python (v3.11 / v3.12).
Expertise in FastAPI for microservices development.
Deep understanding of secure communication protocols (mTLS, token-based security, certificates, encryption).
Proficiency with Python ecosystem tools: httpx, async/asyncio, uv, Ruff, pyTest, and related frameworks.
Strong grasp of software design patterns, clean code principles, and testing best practices.
Experience in containerization (Docker – creation and execution).
Hands-on experience with AWS services: CloudWatch, X-Ray, AppRunner/Fargate, Lambda, DynamoDB (NoSQL).
Familiarity with CI/CD pipelines using Git, Jenkins, and SonarQube.
Knowledge of LLM (Large Language Model) libraries and AI integration frameworks.
Experience optimizing latency and resilience in distributed architectures.
