AI Site Reliability Engineer

Job Title: Site Reliability Engineer (SRE) For AI Platform/Application 
Location – Phoenix – Day 1 Onsite – All 5 days
Client: AMEX/ Atos Syntel
Rate: $55/hr on W2
Visa: H1B, H4EAD with PP Number
Exp: 8+ Years

Note: Should be ready to attend F2F from Amex office

Must be available for internal evaluation and client interviews, with a total of 2 to 3 technical interview rounds.

Key Skills
Cloud and Infrastructure: Azure, on-prem systems, good-to-have GCP.
Kubernetes: Deploy, manage, and troubleshoot services.
Observability: ELK/EFK, Grafana, Prometheus, Dynatrace, strong log analysis; Splunk is a plus.
Automation and Scripting: Bash and Python.
Programming: Python(preferred), Java
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.
SRE Core: SLA, SLI/SLO, alert configuration and tuning, production troubleshooting, end-to-end application flow understanding, ServiceNow incident handling.
Reliability and Platform: Data center failover and networking debugging knowledge.
DevOps: CI/CD pipelines, GitHub Actions, GitHub workflows.
Databases: Vector Database, PostgreSQL and Couchbase.
Practical AI: Should have built at least one real-time agentic workflow(Highly Preferred).

Primary Responsibilities
Ensure reliability, availability, and performance of production systems.
Monitor, triage, and resolve incidents and alerts.
Automate operational tasks and reduce manual toil.
Drive observability and RCA improvements.
Partner with engineering teams to integrate AI capabilities into existing architecture.