Ranking: 42
Design and develop Python-based microservices and AWS Lambda functions with a focus on low latency and high reliability.
Implement secure communication between distributed architectures, including mTLS, token-based security, digital certificates, and identity encryption.
Contribute to the AI Architecture Framework, enabling scalable and secure AI-driven solutions.
Build and maintain RESTful APIs using FastAPI.
Ensure high-quality code through clean code principles, design patterns, and automated testing.
Optimize performance, observability, and fault tolerance across backend services.
Collaborate closely with architecture, DevOps, and AI teams.
Participate in code reviews and promote engineering best practices.
Support CI/CD pipelines and automated quality controls.
Minimum 4 years of backend development experience with Python, using Python 3.11 / 3.12.
Strong experience in microservices architecture, primarily with FastAPI.
Solid knowledge of secure service-to-service communication, including:
mTLS
Security tokens
Digital certificates
Identity encryption
Hands-on experience with the Python ecosystem and tooling:
httpx (async)
asyncio
uv
Ruff
pytest
Strong understanding of software design patterns, clean code, and testing strategies.
Experience with containerization (building and running containers).
Proven experience working with AWS, especially:
AWS Lambda
CloudWatch
X-Ray
AppRunner / Fargate
DynamoDB (NoSQL)
Familiarity with CI/CD pipelines and quality tools, such as:
Git
Jenkins
SonarQube
Experience with LLM libraries and AI-related Python frameworks.
Previous exposure to AI platforms or intelligent systems.
Knowledge of observability and distributed tracing best practices.
Design and develop Python-based microservices and AWS Lambda functions with a focus on low latency and high reliability.
Implement secure communication between distributed architectures, including mTLS, token-based security, digital certificates, and identity encryption.
Contribute to the AI Architecture Framework, enabling scalable and secure AI-driven solutions.
Build and maintain RESTful APIs using FastAPI.
Ensure high-quality code through clean code principles, design patterns, and automated testing.
Optimize performance, observability, and fault tolerance across backend services.
Collaborate closely with architecture, DevOps, and AI teams.
Participate in code reviews and promote engineering best practices.
Support CI/CD pipelines and automated quality controls.
Minimum 4 years of backend development experience with Python, using Python 3.11 / 3.12.
Strong experience in microservices architecture, primarily with FastAPI.
Solid knowledge of secure service-to-service communication, including:
mTLS
Security tokens
Digital certificates
Identity encryption
Hands-on experience with the Python ecosystem and tooling:
httpx (async)
asyncio
uv
Ruff
pytest
Strong understanding of software design patterns, clean code, and testing strategies.
Experience with containerization (building and running containers).
Proven experience working with AWS, especially:
AWS Lambda
CloudWatch
X-Ray
AppRunner / Fargate
DynamoDB (NoSQL)
Familiarity with CI/CD pipelines and quality tools, such as:
Git
Jenkins
SonarQube
Experience with LLM libraries and AI-related Python frameworks.
Previous exposure to AI platforms or intelligent systems.
Knowledge of observability and distributed tracing best practices.
