Principal Platform Engineer - Data & Ai

Equinix Inc.

Hybrid
15 years platform or data engineering experience
Java python sql programming proficiency
Kubernetes serverless and streaming systems
This role involves architecting intelligent infrastructure to power AI, GenAI, and data-intensive workloads at a global digital infrastructure company

Job Summary

  • This role involves architecting intelligent infrastructure to power AI, GenAI, and data-intensive workloads at a global digital infrastructure company.
  • The successful candidate will design highly scalable platforms managing data pipelines, APIs, and agentic GenAI workflows using modern cloud-native tools.
  • Equinix offers a mission-driven environment where bold ideas are welcomed and employees are empowered to shape their future through innovation.

Matching Summary

This role involves architecting intelligent infrastructure to power AI, GenAI, and data-intensive workloads at a global digital infrastructure company.

Skills & Requirements

Must-have

  • 15 years platform or data engineering experience
  • Java Python SQL programming proficiency
  • Kubernetes serverless and streaming systems
  • GenAI LLM frameworks and RAG pipelines
  • Multi-cloud hybrid cloud architecture GCP AWS Azure
  • Data mesh fabric principles implementation
  • Vector search and embedding-based retrieval

Nice-to-have

  • Mentoring junior engineers culture of ownership
  • Experience with CrewAI LangGraph AutoGen
  • Knowledge of MCP protocol for agent workflows
  • Familiarity with Looker Modeler semantic layers
  • Chaos engineering and GitOps practices
  • Open source contribution and experimentation mindset

Key Requirements

  • 15 years hands-on experience in Platform Data Engineering or Cloud Architecture
  • Deep knowledge of distributed systems and API design in production
  • Proven experience building scalable data pipelines for structured and unstructured data
  • Hands-on expertise with ML platforms like MLFlow Vertex AI Kubeflow

Work Rights

Not specified

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