Platform Engineer — Cloud Infrastructure (SMTS)
Core
Design, build, and operate intelligent, self-healing platform tools using AI/ML to automate infrastructure operations and improve developer experience across multi-cloud environments.
Role type
Senior Member of Technical Staff, Platform Engineer (AI/ML focus)
Builds
Intelligent, closed-loop automation systems (AIOps), RAG applications over engineering documentation, and autonomous agent workflows for cloud infrastructure.
Domain
Cloud Infrastructure, AI/ML, Multi-cloud (AWS, Azure, GCP, OCI)
Deliverable
production ML models | infrastructure
Required skills
Go, Python, Kubernetes, LLM orchestration, agentic frameworks, vector databases, GitOps, Infrastructure-as-Code (Pulumi, Terraform), cloud-native architecture
Preferred skills
Model Context Protocol (MCP) development, observability data analysis, compliance-driven AI operations (FedRAMP, SOC 2), internal developer platforms (IDPs)
Technologies
Go, Python, Kubernetes, AWS, Azure, GCP, OCI, Flux, Argo CD, Pulumi, Terraform, Claude Code, Pinecone, Qdrant, Milvus, pgvector
Responsibilities
Design and implement AIOps systems leveraging LLMs for anomaly detection and self-healing; Build RAG applications to reduce incident MTTR; Develop CLI plugins and MCP integrations for agentic coding tools; Maintain GitOps pipelines and IaC frameworks; Mentor engineers on AI/ML concepts and agentic design patterns.
Seniority
Senior, hands-on IC