Principal Cloud Engineer

Who are we Equinix is the world s digital infrastructure company operating over 260 data centers across 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 solving challenging problems 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 providing an 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-account multi-subscription multi-project governance models including landing zones service control policies and organizational structures Ability to design for cost optimization tagging strategies and usage monitoring across cloud providers Monitoring Operations Familiarity with cloud monitoring logging and observability tools e g CloudWatch Azure Monitor GCP Operations Suite Datadog Prometheus Experience with incident management and building self-healing cloud architectures Platform Cloud Engineering Develop and maintain real-time and batch data pipelines using tools like Airflow dbt Dataform and Dataflow Spark Design and develop event-driven architectures using Apache Kafka Google Pub Sub or equivalent messaging systems Build and expose high-performance data APIs and microservices to support downstream applications ML workflows and GenAI agents Architect and manage multi-cloud and hybrid cloud platforms e g GCP AWS Azure optimized for AI ML and real-time data processing workloads Build reusable frameworks and infrastructure-as-code IaC using Terraform Kubernetes and CI CD to drive self-service and automation Ensure platform scalability resilience and cost efficiency through modern practices like GitOps observability and chaos engineering Leadership Collaboration Experience leading cloud architecture reviews defining standards and mentoring engineering teams Ability to work cross-functionally with security networking application and data teams to deliver integrated cloud solutions Strong communication skills to engage stakeholders at various levels from engineering to executives Qualifications 15 years of hands-on experience in Platform or Data Engineering Cloud Architecture Multi-Cloud Multi-Region Deployment Architecture AI Engineering roles Strong programming background in Java Python SQL and one or more general-purpose languages Deep knowledge of data modeling distributed systems and API design in production environments Proficiency in designing and managing Kubernetes serverless workloads and streaming systems Kafka Pub Sub Flink Spark Experience with metadata management data catalogs data quality enforcement and semantic modeling automated integration with Data Platform Proven experience building scalable efficient data pipelines for structured and unstructured data Experience with GenAI LLM frameworks and tools for orchestration and workflow automation Experience with RAG pipelines vector databases and embedding-based search Familiarity with observability tools Prometheus Grafana OpenTelemetry and strong debugging skills across the stack Experience with ML Platforms MLFlow Vertex AI Kubeflow and AI ML observability tools Prior implementation of data mesh or data fabric in a large-scale enterprise Experience with Looker Modeler LookML or semantic modeling layers Preferred Certifications AWS Certified Solutions Architect - Professional Google Professional Cloud Architect Microsoft Certified Azure Solutions Architect Expert HashiCorp Certified Terraform Associate Other relevant certifications CKA CKS CISSP cloud concentration are a plus Why You ll Love This Role Drive technical leadership across AI-native data platforms automation systems and self-service tools Collaborate across teams to shape the next generation of intelligent platforms in the enterprise Work with a high-energy mission-driven team that embraces innovation open-source and experimentation Equinix is committed to ensuring that our employment process is open to all individuals including those with a disability If you are a qualified candidate and need assistance or an accommodation please let us know by completing Equinix is an Equal Employment Opportunity and in the U S an Affirmative Action employer All qualified applicants will receive consideration for employment without regard to unlawful consideration of race color religion creed national or ethnic origin ancestry place of birth citizenship sex pregnancy childbirth or related medical conditions sexual orientation gender identity or expression marital or domestic partnership status age veteran or military status physical or mental disability medical condition genetic information political organizational affiliation status as a victim or family member of a victim of crime or abuse or any other status protected by applicable law