Site Reliability Engineer (SRE) For AI Platform/Application

1. Cloud and Infrastructure: Azure, on-prem systems, good-to-have GCP.

2. Kubernetes: Deploy, manage, and troubleshoot services.

3. Observability: ELK/EFK, Grafana, Prometheus, Dynatrace, strong log analysis; Splunk is a plus.

4. Automation and Scripting: Bash and Python.

5. Programming: Python(preferred), Java

6. AI and Agentic Systems: LangChain/CrewAI/AutoGen (anyone), LangGraph, RAG, LLM basics, evals for AI observability, NLP/deep learning/transformer fundamentals and Prompt Engineering Skills.

7. SRE Core: SLA, SLI/SLO, alert configuration and tuning, production troubleshooting, end-to-end application flow understanding, ServiceNow incident handling.

8. Reliability and Platform: Data center failover and networking debugging knowledge.

9. DevOps: CI/CD pipelines, GitHub Actions, GitHub workflows.

10. Databases: Vector Database, PostgreSQL and Couchbase.

11. Practical AI: Should have built at least one real-time agentic workflow(Highly Preferred).