Senior Platform Engineer - Data & AI

Who are we?

Equinix is the world's digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective.

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 SummaryWe are seeking a highly skilled Senior 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 streamingAPIs and microservicesGenAI and LLM-powered applicationsAgentic workflows and multi-agent systemsWorking 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.

ResponsibilitiesPlatform & Cloud EngineeringArchitect and build cloud-native platforms on Google Cloud (GCP) supporting data, AI, and agentic workloadsDesign event-driven architectures using Apache Kafka, Google Pub/Sub, or equivalent systemsBuild 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 toolsImplement Infrastructure-as-Code (IaC) using Terraform and Kubernetes for scalable, repeatable deploymentsEnable platform automation using CI/CD, GitOps, and self-service frameworksEnsure platform scalability, reliability, and cost efficiencyAgentic Platform & Multi-Agent SystemsDesign and build Agentic Platforms that support:

Agent lifecycle managementTask orchestrationContext and memory handlingDevelop and orchestrate multi-agent systems using frameworks such as CrewAI, LangGraph, AutoGen, or equivalentImplement agent communication and coordination patterns across distributed systemsBuild and integrate:

Agent Gateway for managing agent interactions and routingA2A (Agent-to-Agent) communication protocolsMCP (Model Context Protocol) or equivalent for context sharing and orchestrationADK (Agent Development Kits) or internal frameworks for rapid agent developmentEnable use cases such as:

Autonomous pipeline monitoring and remediationAI-assisted platform operationsIntelligent workflow automationCode and data pipeline generationAI & GenAI Platform EngineeringIntegrate LLMs and GenAI services (e.g., OpenAI, Gemini, Claude) into platform workflows.

Build and support:

RAG pipelines and retrieval systemsVector search and embedding architectures (Weaviate, Pinecone, FAISS)Enable AI-driven automation for:

Platform operationsData quality monitoringIncident analysis and resolutionDevelop reusable AI platform services and APIs for enterprise consumption.

Agent Observability & AI OperationsDesign and implement Agent Observability frameworks, including:

Agent execution tracingDecision tracking and explainabilityLatency and performance monitoringFailure and retry analysisIntegrate observability using tools like:

OpenTelemetry, Prometheus, GrafanaAI/LLM observability tools (e.g., prompt tracing, evaluation frameworks)Enable end-to-end observability across data pipelines, APIs, and agent workflows.

Data Architecture & GovernanceLead initiatives in:

Data modeling and semantic layer designData cataloging and metadata managementData quality and lineage trackingImplement governance frameworks using tools such as DataHub, Collibra, or equivalent.

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

Automation & Intelligent Platform OperationsBuild automation-first platforms leveraging:

AI-driven workflowsSelf-healing systemsEvent-driven automationUse GenAI to:

Automate operational tasksGenerate platform configurations and codeEnhance developer productivityCollaborate with SRE and Production Support teams to improve:

ReliabilityIncident responseOperational efficiencyEngineering EnablementDevelop platform SDKs, CLIs, and reusable blueprints.

Enable self-service platform capabilities for engineering teams.

Standardize best practices for:

APIsData pipelinesAgent developmentMentor engineers and promote a culture of innovation and continuous learning.

QualificationsExperience8-12 years of experience in Platform Engineering, Data Engineering, Cloud Architecture, or AI Platform EngineeringProven experience building enterprise-scale data and AI platformsCore Technical SkillsStrong programming expertise in Java, Python, Full-Stack and SQLExperience building microservices and API-driven architecturesDeep understanding of distributed systems and cloud-native designCloud & Platform EngineeringStrong experience with Google Cloud Platform (GCP) (mandatory)Hands-on experience with:

Kubernetes and containerized workloadsTerraform and Infrastructure-as-CodeCI/CD pipelines and GitOpsStreaming & Data SystemsExperience with Kafka, Pub/Sub, Spark, Flink, or similar systemsStrong background in real-time and batch data processingAI, GenAI & Agentic SystemsHands-on experience with:

LLM frameworks and APIsMulti-agent orchestration frameworks (CrewAI, LangGraph, AutoGen, etc.)RAG pipelines and vector databasesExperience building or working with:

Agent Gateway architecturesA2A communication modelsMCP or context-sharing frameworksAgent Development Kits (ADKs)Full Stack & UI DevelopmentExperience 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 & ReliabilityExperience with observability tools:

Prometheus, Grafana, OpenTelemetryStrong debugging and system analysis skills.

Familiarity with AI/LLM observability and evaluation frameworks.

Data Governance & ArchitectureExperience with:

Data catalogs and metadata platformsData quality and lineage frameworksSemantic modeling and data governancePreferred QualificationsExperience 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 RoleWork on cutting-edge Agentic AI and multi-agent systemsBuild AI-native enterprise platforms at scaleDrive innovation in automation, GenAI, and intelligent systemsCollaborate with high-impact teams across data, AI, and platform engineeringShape the future of AI-driven enterprise architectureThe targeted pay range for this position in the following location is / locations are:

Canada•

Toronto Office TRO :

131,000•181,000 CAD / AnnualOur pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.

The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

Equinix BenefitsAs an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program:

An Employee Assistance program is available to all employees.

Canada Core Benefits:

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Insurance:

You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members.•

Retirement:

You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA).•

Vacation and Paid Holidays:

Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.

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.