Must-Have

- Python Dev (KARAT Completion)
- GenAI App Dev ( LangChain, LangGraph, RAG Pipelines)
- GCP/AWS/OpenAI Platform Experience

Core Technical Skills

- Strong programming proficiency in Python (mandatory)
- Experience in SRE / DevOps / Production Support roles
- Good understanding of Linux systems and networking

• 410 years in SRE / DevOps / Production Engineering

• Minimum 1+ year supporting GenAI / ML workloads (preferred)

• Bachelor’s/Master’s in Computer Science or related field

Positive-to-Have

GenAI Capabilities (Mandatory)

- Experience supporting LLM-based applications in production
- Familiarity with:
- Prompt engineering basics
- RAG-based systems
- LLM APIs (OpenAI, Vertex AI, AWS Bedrock)

- Understanding of:

- LLM failure modes (hallucination, latency, rate limits)

Cloud & Platform Experience (Mandatory)





- Hands-on experience with:
- AWS and/or GCP

- Experience with:

- Kubernetes (EKS/GKE preferred)
- Docker

- Familiarity with serverless and microservices architecture

Observability & Automation

- Experience with monitoring tools:
- Prometheus, Grafana, Datadog, ELK stack

- Strong scripting/automation skills
- Incident management and troubleshooting expertise

Preferred Qualifications

- Experience with AIOps / LLMOps frameworks
- Exposure to vector databases (Pinecone, FAISS, Chroma)
- Knowledge of security, compliance, and governance in AI systems
- Experience supporting enterprise-scale AI platforms

📌 SRE / OPS -GenAI (West Bengal)
🏢 Tata Consultancy Services
📍 West Bengal