- 13 15 years of software engineering experience preferably in back-end and cloud-based environments.
- Strong proficiency in Python with experience in FastAPI and Pydantic.
- Deep understanding of RESTful API design versioning and documentation.
- Hands-on experience with AWS services: Lambda API Gateway ECS (Fargate or EC2-backed).
- Practical experience with containerization using Docker or Podman.
- Familiarity with CI/CD pipelines and Git-based workflows.
- Strong understanding of microservices architecture and service orchestration.
- Experience with asynchronous programming in Python (e.g. asyncio aiohttp).
- Exposure to infrastructure as code tools like Terraform or AWS CDK.
- Experience with monitoring and logging (CloudWatch Prometheus Grafana).
- Good understanding of API and cloud security best practices.
Additional Required Experience (as per latest guidelines): - Must have at least one hands-on implementation of a GenAI project.
- Must have PoC/PoV experience with MCP (Model Context Protocol) or similar AI protocols for LLM integration.
- Experience working on AI platform components or orchestration layers is a strong plus.
- Bachelors degree in Computer Science Engineering or a related field.
|
13 15 years of software engineering experience preferably in back-end and cloud-based environments. Strong proficiency in Python with experience in FastAPI and Pydantic. Deep understanding of RESTful API design versioning and documentation. Hands-on experience with AWS services: Lambda API G...
- 13 15 years of software engineering experience preferably in back-end and cloud-based environments.
- Strong proficiency in Python with experience in FastAPI and Pydantic.
- Deep understanding of RESTful API design versioning and documentation.
- Hands-on experience with AWS services: Lambda API Gateway ECS (Fargate or EC2-backed).
- Practical experience with containerization using Docker or Podman.
- Familiarity with CI/CD pipelines and Git-based workflows.
- Strong understanding of microservices architecture and service orchestration.
- Experience with asynchronous programming in Python (e.g. asyncio aiohttp).
- Exposure to infrastructure as code tools like Terraform or AWS CDK.
- Experience with monitoring and logging (CloudWatch Prometheus Grafana).
- Good understanding of API and cloud security best practices.
Additional Required Experience (as per latest guidelines): - Must have at least one hands-on implementation of a GenAI project.
- Must have PoC/PoV experience with MCP (Model Context Protocol) or similar AI protocols for LLM integration.
- Experience working on AI platform components or orchestration layers is a strong plus.
- Bachelors degree in Computer Science Engineering or a related field.
|
View more
View less