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Groupon is moving beyond "experimenting" with AI to running it at massive scale. As we transition to an AI-First organization, we are building a centralized AIOps team to solve a critical challenge: moving AI features from fragmented prototypes to high-performing, cost-efficient production reality. As a Senior AIOps Engineer, you won't just be managing servers; you will be the architect of the "Golden Paths"—the reusable, automated infrastructure that enables our product teams to ship LLMs, Vector Search, and AI Agents faster than ever before.
Job Responsibility:
Architect the AI Stack: Design and operate core infrastructure on Kubernetes, including Vector Databases, LLM Gateways (LiteLLM), and workflow automation tools (n8n)
Enable at Scale: Drive AI adoption by creating self-service "Golden Paths" using Terraform and Helm, allowing engineering teams to deploy RAG pipelines with one click
Operational Excellence: Implement centralized observability, tracing (Langfuse), and governance to ensure our AI systems are reliable, auditable, and secure
Fiscal Discipline: Own the "AI Bill"—monitoring token usage and latency to optimize spend while maintaining high performance
Requirements:
5+ years in Platform Engineering, SRE, or DevOps within a cloud-native environment
Deep experience managing stateful and stateless workloads (Helm, Istio, Docker)
Hands-on experience deploying and operating AI/ML tools or data-intensive systems in production
Strong skills in Python or Go to build custom API wrappers and automate operational tasks
Expertise in Prometheus, Grafana, and ELK stack to ensure end-to-end observability of complex AI requests
What we offer:
End-to-end Ownership: Real authority to standardize how a global company builds with AI
Career Growth: This is a high-visibility role within a new, strategic team with potential for leadership progression