Platform Engineer - Data & AI

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Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

Job Summary

We are seeking a highly skilled Platform Engineer – Data & AI to architect and build next-generation AI-native and Agentic platforms that power enterprise-scale data, automation, and intelligent systems.

This role goes beyond traditional data platforms to focus on Agentic AI ecosystems, including multi-agent orchestration, agent lifecycle management, agent communication protocols, and AI-driven platform automation.

You will design and operate a unified platform that supports:

• Data pipelines and real-time streaming

• APIs and microservices

• GenAI and LLM-powered applications

• Agentic workflows and multi-agent systems

Working closely with AI/ML engineers, platform teams, SRE, and product teams, you will help build a scalable, observable, and governed AI platform on Google Cloud, leveraging automation, IaC, and modern cloud-native patterns.

Responsibilities

Platform & Cloud Engineering

• Architect and build cloud-native platforms on Google Cloud (GCP) supporting data, AI, and agentic workloads

• Design event-driven architectures using Apache Kafka, Google Pub/Sub, or equivalent systems

• Build scalable microservices and APIs using modern frameworks (e.g., Java, Spring Boot)

• Develop and manage real-time and batch data pipelines using Airflow, Dataform, Dataflow, Spark, or similar tools

• Implement Infrastructure-as-Code (IaC) using Terraform and Kubernetes for scalable, repeatable deployments

• Enable platform automation using CI/CD, GitOps, and self-service frameworks

• Ensure platform scalability, reliability, and cost efficiency

Agentic Platform & Multi-Agent Systems

• Design and build Agentic Platforms that support:

  • Agent lifecycle management

  • Task orchestration

  • Context and memory handling

• Develop and orchestrate multi-agent systems using frameworks such as CrewAI, LangGraph, AutoGen, or equivalent.

• Implement agent communication and coordination patterns across distributed systems.

• Build and integrate:

  • Agent Gateway for managing agent interactions and routing

  • A2A (Agent-to-Agent) communication protocols

  • MCP (Model Context Protocol) or equivalent for context sharing and orchestration

  • ADK (Agent Development Kits) or internal frameworks for rapid agent development

• Enable use cases such as:

  • Autonomous pipeline monitoring and remediation

  • AI-assisted platform operations

  • Intelligent workflow automation

  • Code and data pipeline generation

AI & GenAI Platform Engineering

• Integrate LLMs and GenAI services (e.g., OpenAI, Gemini, Claude) into platform workflows.

• Build and support:

  • RAG pipelines and retrieval systems

  • Vector search and embedding architectures (Weaviate, Pinecone, FAISS)

• Enable AI-driven automation for:

  • Platform operations

  • Data quality monitoring

  • Incident analysis and resolution

• Develop reusable AI platform services and APIs for enterprise consumption.

Agent Observability & AI Operations

• Design and implement Agent Observability frameworks, including:

  • Agent execution tracing

  • Decision tracking and explainability

  • Latency and performance monitoring

  • Failure and retry analysis

• Integrate observability using tools like:

  • OpenTelemetry, Prometheus, Grafana

  • AI/LLM observability tools (e.g., prompt tracing, evaluation frameworks)

• Enable end-to-end observability across data pipelines, APIs, and agent workflows.

Data Architecture & Governance

• Lead initiatives in:

  • Data modeling and semantic layer design

  • Data cataloging and metadata management

  • Data quality and lineage tracking

• Implement governance frameworks using tools such as DataHub, Collibra, or equivalent.

• Support data mesh and data fabric architectures for federated data ownership.

Automation & Intelligent Platform Operations

• Build automation-first platforms leveraging:

  • AI-driven workflows

  • Self-healing systems

  • Event-driven automation

• Use GenAI to:

  • Automate operational tasks

  • Generate platform configurations and code

  • Enhance developer productivity

• Collaborate with SRE and Production Support teams to improve:

  • Reliability

  • Incident response

  • Operational efficiency

Engineering Enablement

• Develop platform SDKs, CLIs, and reusable blueprints

• Enable self-service platform capabilities for engineering teams

• Standardize best practices for:

  • APIs

  • Data pipelines

  • Agent development

• Mentor engineers and promote a culture of innovation and continuous learning

Qualifications

Experience

• 6–10 years of experience in Platform Engineering, Data Engineering, Cloud Architecture, or AI Platform Engineering

• Proven experience building enterprise-scale data and AI platforms.

Core Technical Skills

• Strong programming expertise in Java, Python, Full-Stack and SQL

• Experience building microservices and API-driven architectures

• Deep understanding of distributed systems and cloud-native design

Cloud & Platform Engineering

• Strong experience with Google Cloud Platform (GCP) (mandatory)

• Hands-on experience with:

  • Kubernetes and containerized workloads

  • Terraform and Infrastructure-as-Code

  • CI/CD pipelines and GitOps

Streaming & Data Systems

• Experience with Kafka, Pub/Sub, Spark, Flink, or similar systems.

• Strong background in real-time and batch data processing.

AI, GenAI & Agentic Systems

• Hands-on experience with:

  • LLM frameworks and APIs

  • Multi-agent orchestration frameworks (CrewAI, LangGraph, AutoGen, etc.)

  • RAG pipelines and vector databases

• Experience building or working with:

  • Agent Gateway architectures

  • A2A communication models

  • MCP or context-sharing frameworks

  • Agent Development Kits (ADKs)

Full Stack & UI Development

• Experience building full stack applications with modern frontend frameworks (React, Angular, Vue.js)

• Strong understanding of REST/GraphQL APIs and UI integration patterns

• Experience with real-time UI updates using WebSockets or streaming architectures

• Familiarity with design systems, UX principles, and responsive design

• Experience building platform dashboards, developer portals, or observability UIs

Observability & Reliability

• Experience with observability tools:

  • Prometheus, Grafana, OpenTelemetry

• Strong debugging and system analysis skills

• Familiarity with AI/LLM observability and evaluation frameworks

Data Governance & Architecture

• Experience with:

  • Data catalogs and metadata platforms

  • Data quality and lineage frameworks

  • Semantic modeling and data governance

Preferred Qualifications

• Experience with Vertex AI, MLflow, Kubeflow, or ML platforms

• Prior implementation of data mesh or data fabric architectures

• Experience with Looker Modeler / LookML or semantic layers

• Exposure to AI safety, governance, and responsible AI practices

• Experience building enterprise AI/Agentic platforms at scale

Why You’ll Love This Role

• Work on cutting-edge Agentic AI and multi-agent systems

• Build AI-native enterprise platforms at scale

• Drive innovation in automation, GenAI, and intelligent systems

• Collaborate with high-impact teams across data, AI, and platform engineering

• Shape the future of AI-driven enterprise architecture

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 this form.

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. 

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This posting is a new position within our organization.