Principal Cloud Engineer

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Principal Cloud Engineer - Data & AI
role at
Equinix
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Join to apply for the
Principal Cloud Engineer - Data & AI
role at
Equinix
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Who are we?
Equinix is the world’s digital infrastructure company, operating over 260 data centersacross the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.
Who are we?
Equinix is the world’s digital infrastructure company, operating over 260 data centersacross the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.
Our culture is based on collaboration and the growth and development of our teams. We hire hardworking people who thrive on solvingchallengingproblems and give them opportunities to hone new skills and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providingan equitable work environment that is foundational to our core values as a company and is vital to our success.
Job Summary
We’re looking for a Principal Cloud Engineer with a strong foundation in Multi-Cloud & multi region deployment, data architecture, distributed systems, and modern cloud-native platforms to architect, build, and maintain intelligent infrastructure and systems that power our AI, GenAI and data-intensive workloads.
You’ll work closely with cross-functional teams, including data scientists, ML & software engineers, and product managers & play a key role in designing a highly scalable platform to manage the lifecycle of data pipelines, APIs, real-time streaming, and agentic GenAI workflows, while enabling federated data architectures. The ideal candidate will have a strong background in building and maintaining scalable AI & Data Platform, optimizing workflows, and ensuring the reliability and performance of Data Platform systems.
Responsibilities
Cloud Architecture & Engineering
Deep expertise in designing, implementing, and managing architectures across multiple cloud platforms (e.g., AWS, Azure, GCP)
Proven experience in architecting hybrid and multi-cloud solutions, including interconnectivity, security, workload placement, and DR strategies
Strong knowledge of cloud-native services (e.g., serverless, containers, managed databases, storage, networking)
Experience with enterprise-grade IAM, security controls, and compliance frameworks across cloud environments
AI & GenAI Platform Integration
Integrate LLM APIs (OpenAI, Gemini, Claude, etc.) into platform workflows for intelligent automation and enhanced user experience
Build and orchestrate multi-agent systems using frameworks like CrewAI, LangGraph, or AutoGen for use cases such as pipeline debugging, code generation, and MLOps
Experience in developing and integrating GenAI applications using MCP and orchestration of LLM-powered workflows (e.g., summarization, document Q&A, chatbot assistants, and intelligent data exploration)
Hands-on expertise building and optimizing vector search and RAG pipelines using tools like Weaviate, Pinecone, or FAISS to support embedding-based retrieval and real-time semantic search across structured and unstructured datasets
Engineering Enablement
Create extensible CLIs, SDKs, and blueprints to simplify onboarding, accelerate development, and standardize best practices
Streamline onboarding, documentation, and platform implementation & support using GenAI and conversational interfaces
Collaborate across teams to enforce cost, reliability, and security standards within platform blueprints.
Work with engineering by introducing platform enhancements, observability, and cost optimization techniques
Foster a culture of ownership, continuous learning, and innovation
Automation, IaC, CI/CD
Mastery of Infrastructure as Code (IaC) tools — especially Terraform, Terragrunt, and CloudFormation / ARM / Deployment Manager
Experience building and managing cloud automation frameworks (e.g., using Python, Go, or Bash for orchestration and tooling)
Hands-on experience with CI/CD pipelines (e.g., GitHub Actions) for cloud resource deployments
Expertise in implementing policy-as-code & Compliance-as-code (e.g., Open Policy Agent, Sentinel)
Security, Governance & Cost
Strong background in implementing cloud security best practices (network segmentation, encryption, secrets management, key management, etc.).
Experience with multi-