Saransh Inc
Overview
Back End Developer role with focus on Python, FastAPI, AWS, and cloud-based backend systems. Typical responsibilities and requirements are listed below. Responsibilities
Design, develop, and maintain backend services and microservices architectures. Collaborate with AI/GenAI initiatives and ensure integration with Model Context Protocol (MCP) or similar AI protocols for LLM integration. Implement RESTful APIs with proper versioning and documentation. Leverage AWS services (Lambda, API Gateway, ECS) and containerization (Docker or Podman). Contribute to CI/CD pipelines and Git-based workflows; ensure monitoring and logging (CloudWatch, Prometheus, Grafana). Adhere to security best practices for APIs and cloud environments. Qualifications
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. Bachelor’s degree in Computer Science, Engineering, or a related field. Additional Required Experience
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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: IT Services and IT Consulting Note: The listing contains several job-related items repeated or embedded in non-standard formatting. The refined description consolidates essential information and removes boilerplate such as "Referrals increase your chances of interviewing" and location-based aggregates not directly relevant to the role.
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Back End Developer role with focus on Python, FastAPI, AWS, and cloud-based backend systems. Typical responsibilities and requirements are listed below. Responsibilities
Design, develop, and maintain backend services and microservices architectures. Collaborate with AI/GenAI initiatives and ensure integration with Model Context Protocol (MCP) or similar AI protocols for LLM integration. Implement RESTful APIs with proper versioning and documentation. Leverage AWS services (Lambda, API Gateway, ECS) and containerization (Docker or Podman). Contribute to CI/CD pipelines and Git-based workflows; ensure monitoring and logging (CloudWatch, Prometheus, Grafana). Adhere to security best practices for APIs and cloud environments. Qualifications
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. Bachelor’s degree in Computer Science, Engineering, or a related field. Additional Required Experience
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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: IT Services and IT Consulting Note: The listing contains several job-related items repeated or embedded in non-standard formatting. The refined description consolidates essential information and removes boilerplate such as "Referrals increase your chances of interviewing" and location-based aggregates not directly relevant to the role.
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