SME - Terraform,Python,Google Cloud Build,Ansible

Job Summary

Job Summary : Python Backend Engineer Engineer is expected to perform the following Services and/or provide the following deliverables: Python Backend Engineer:

• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows • Integrate Lang Chain, Lang Graph, or EasyRAG for contextual responses, Google ADK, Hugging Face • Implement authentication (OAuth2), logging, and observability • Optimize backend throughput for multi-agent systems • Provision and manage GCP infrastructure for the AI environment, MCP servers, and Streamlit UI • Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads • Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns • Set up monitoring, alerting, and observability stacks (Prometheus, Grafana, Cloud Monitoring) • Manage service accounts, IAM policies, and network security for sandbox and production environments • CI/CD automation for AI workloads • Languages/Frameworks: Python, FastAPI, Flask • GenAI Frameworks: Lang Chain, Lang Graph, Google ADK, Hugging Face • Databases: PostgreSQL, MongoDB, Redis, FAISS • Cloud: GCP (Vertex AI), Kubernetes • Agent Systems: MCP server, A2A communication Job Responsibilities : Python Backend Engineer Engineer is expected to perform the following Services and/or provide the following deliverables: Python Backend Engineer:
• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows • Integrate Lang Chain, Lang Graph, or EasyRAG for contextual responses, Google ADK, Hugging Face • Implement authentication (OAuth2), logging, and observability • Optimize backend throughput for multi-agent systems • Provision and manage GCP infrastructure for the AI environment, MCP servers, and Streamlit UI • Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads • Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns • Set up monitoring, alerting, and observability stacks (Prometheus, Grafana, Cloud Monitoring) • Manage service accounts, IAM policies, and network security for sandbox and production environments • CI/CD automation for AI workloads • Languages/Frameworks: Python, FastAPI, Flask • GenAI Frameworks: Lang Chain, Lang Graph, Google ADK, Hugging Face • Databases: PostgreSQL, MongoDB, Redis, FAISS • Cloud: GCP (Vertex AI), Kubernetes • Agent Systems: MCP server, A2A communication Job Description : Python Backend Engineer\\r\\n\\r\\n Engineer is expected to perform the following Services and/or provide the following deliverables: \\r\\n Python Backend Engineer:\\r\\n• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows\\r\\n• Integrate Lang Chain, Lang Graph, or EasyRAG for contextual responses, Google ADK, Hugging Face\\r\\n• Implement authentication (OAuth2), logging, and observability\\r\\n• Optimize backend throughput for multi-agent systems\\r\\n• Provision and manage GCP infrastructure for the AI environment, MCP servers, and Streamlit UI\\r\\n• Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads\\r\\n• Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns\\r\\n• Set up monitoring, alerting, and observability stacks (Prometheus, Grafana, Cloud Monitoring)\\r\\n• Manage service accounts, IAM policies, and network security for sandbox and production environments\\r\\n• CI/C

Key Responsibilities

NA

Skill Requirements

Skill Requirement : Python Backend Engineer Engineer is expected to perform the following Services and/or provide the following deliverables: Python Backend Engineer:

• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows • Integrate Lang Chain, Lang Graph, or EasyRAG for contextual responses, Google ADK, Hugging Face • Implement authentication (OAuth2), logging, and observability • Optimize backend throughput for multi-agent systems • Provision and manage GCP infrastructure for the AI environment, MCP servers, and Streamlit UI • Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads • Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns • Set up monitoring, alerting, and observability stacks (Prometheus, Grafana, Cloud Monitoring) • Manage service accounts, IAM policies, and network security for sandbox and production environments • CI/CD automation for AI workloads • Languages/Frameworks: Python, FastAPI, Flask • GenAI Frameworks: Lang Chain, Lang Graph, Google ADK, Hugging Face • Databases: PostgreSQL, MongoDB, Redis, FAISS • Cloud: GCP (Vertex AI), Kubernetes • Agent Systems: MCP server, A2A communication

Other Requirements

Other Requirement : Python Backend Engineer Engineer is expected to perform the following Services and/or provide the following deliverables: Python Backend Engineer:

• Develop RESTful APIs (FastAPI/Flask) for LLM and agentic workflows • Integrate Lang Chain, Lang Graph, or EasyRAG for contextual responses, Google ADK, Hugging Face • Implement authentication (OAuth2), logging, and observability • Optimize backend throughput for multi-agent systems • Provision and manage GCP infrastructure for the AI environment, MCP servers, and Streamlit UI • Configure GKE clusters, Cloud Run services, and Vertex AI endpoints for production workloads • Implement infrastructure security aligned with DB CSO/CISO requirements and HCLTech patterns • Set up monitoring, alerting, and observability stacks (Prometheus, Grafana, Cloud Monitoring) • Manage service accounts, IAM policies, and network security for sandbox and production environments • CI/CD automation for AI workloads • Languages/Frameworks: Python, FastAPI, Flask • GenAI Frameworks: Lang Chain, Lang Graph, Google ADK, Hugging Face • Databases: PostgreSQL, MongoDB, Redis, FAISS • Cloud: GCP (Vertex AI), Kubernetes • Agent Systems: MCP server, A2A communication