Job Description:
Build and maintain reliable infrastructure for AI agent deployments.
Manage production AI workloads across Kubernetes and cloud platforms.
Design monitoring and alerting for AI agents, LLM applications, and distributed systems.
Implement SRE best practices including SLI, SLO, SLA, incident management, and postmortem analysis.
Automate deployment pipelines using CI/CD tools.
Manage AI model lifecycle, deployment, rollback, and performance monitoring.
Optimize GPU utilization and AI infrastructure costs.
Troubleshoot production issues involving AI agents, APIs, Kubernetes, networking, and cloud services.
Implement observability using logs, metrics, traces, and dashboards.
Develop automation scripts for infrastructure provisioning and operational tasks.
Collaborate with AI/ML engineers, platform teams, and software developers.
Ensure security, compliance, and governance for AI systems.
Support production releases and participate in on-call rotations.

📌 Ai Agentic Ops Sre Bengaluru
🏢 Acme Services Private
📍 Bengaluru