Job Description
Who are we?
Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Our platform enables digital leaders to interconnect infrastructure at software speed, supporting scalability, agility, and sustainability.
Our Culture
- Collaboration-focused
- Growth and development opportunities
- Embraces diversity and equity
Job Summary
We are seeking a Senior Platform Engineer with expertise in data architecture, distributed systems, and cloud-native platforms to build and maintain intelligent infrastructure powering AI, GenAI, and data workloads.
Responsibilities
Platform & Cloud Engineering
- Develop real-time and batch data pipelines (Airflow, dbt, Dataform, Dataflow/Spark)
- Design event-driven architectures (Apache Kafka, Google Pub/Sub)
- Build high-performance data APIs and microservices
- Manage multi-cloud/hybrid platforms (GCP, AWS, Azure)
- Infrastructure-as-code using Terraform, Kubernetes, CI/CD
- Ensure scalability, resilience, and cost efficiency
Data Architecture & Governance
- Data modeling, semantic layer, data cataloging
- Data governance practices (DataHub, Amundsen, Collibra)
- Promote data fabric and mesh principles
AI & GenAI Platform Integration
- Integrate LLM APIs (OpenAI, Gemini, Claude)
- Build multi-agent systems (CrewAI, LangGraph, AutoGen)
- Develop GenAI applications
- Optimize vector search and RAG pipelines (Weaviate, Pinecone, FAISS)
Engineering Enablement
- Create CLI tools, SDKs, blueprints
- Support onboarding and documentation
- Enforce standards for cost, security, reliability
- Mentorship and thought leadership
Qualifications
- 8–12 years experience in Platform/Data Engineering, Cloud Architecture, AI Engineering
- Programming in Java, Python, SQL
- Data modeling and distributed systems expertise
- Kubernetes, serverless, streaming systems (Kafka, Spark)
- Metadata management, data quality enforcement
- Building scalable data pipelines
- Experience with GenAI/LLM tools
- Vector databases, embedding/search (FAISS, Pinecone)
- Observability tools (Prometheus, Grafana)
- ML Platforms (MLFlow, Vertex AI, Kubeflow)
- Data mesh or fabric implementation
- Semantic modeling (Looker, LookML)
Why You’ll Love This Role
- Lead AI-native data platform initiatives
- Collaborate on innovative enterprise solutions
- Join a high-energy, inclusive team
Inclusion & Equal Opportunities
Equinix provides accommodations for qualified candidates with disabilities upon request. We are an Equal Employment Opportunity employer, ensuring consideration regardless of race, color, religion, gender, or other protected statuses.
Job Highlights
Leadership in AI and data platform engineering, cloud-native architecture, advanced data and AI integrations, mentoring role, innovative environment.