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.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 SummaryEquinix is building a new generation of AI infrastructure products, and we are looking for senior technical leaders to help shape them. As a Distinguished Engineer on the AI Infrastructure Products team, you will design, build, and launch the platforms and services that let customers run AI inference close to their data, clouds, and partners across Equinix’s global footprint.This is a hands‑on builder role. You will incubate new products and take them from zero to one, then harden them into reliable platforms that run at global scale. You will work across the stack, from container & service‑based compute platforms and customer‑facing APIs to the networking that connects AI workloads with Equinix Fabric and our broader interconnection portfolio.As a Distinguished Engineer, you will be the senior‑most technical authority for AI Infrastructure Products, setting the multi‑year architecture vision and shaping how Equinix competes in AI infrastructure. You will operate at a company and industry level, recognized as an expert inside and outside Equinix.ResponsibilitiesScope as a Distinguished EngineerDefine and own the multi-year technical vision and reference architecture for AI infrastructure across Equinix, aligning product, platform, and network strategyInfluence executive leadership and company-wide technology investments, and represent Equinix with strategic customers, partners, standards bodies,



and industry forumsMentor and develop Senior Principal and Principal Engineers, and shape the technical talent bar for the organizationBuild AI Infrastructure ProductsDesign, build, and operate infrastructure and inference-related products and services, and the APIs customers use to consume themWrite production-quality code, primarily in Go, and set a high bar for code quality, testing, and design reviewsDesign API-first, service‑oriented architectures that are secure, well documented, and easy for customers and partners to integrate withTrack the fast-moving inference ecosystem (serving frameworks, accelerators, model optimization) and bring the right technologies into our productsIncubate and Launch Zero-to-One ProductsTake new ideas from concept to prototype to production launch, partnering closely with Product Management to shape requirements and define MVPsMove quickly in ambiguous problem spaces: run proofs of concept, make build‑vs‑buy calls, and turn early learnings into a durable architecture??Web Platform, Scale & ReliabilityArchitect and run platforms and services that scale across Equinix’s global data center footprintApply platform engineering, Dev Ops, and SRE practices (automation, CI/CD, infrastructure as code, observability, SLOs, incident response) so that what we launch stays reliable at scaleIdentify and resolve systemic reliability, performance, and cost issues across the platformNetworking & InterconnectionIntegrate AI infrastructure products with Equinix Fabric, Network Edge, and other interconnection products so customers can securely connect AI workloads to clouds, partners, and their own environmentsPartner with network architecture and product teams to design low‑latency,



resilient connectivity for distributed inferenceTechnical Leadership & MentorshipLead architecture and design reviews, and author the design documents and decision records that guide the teamMentor and grow engineers, raise the technical bar, and help build a strong engineering culture on a new teamCollaborate with Product, Engineering, Security, Operations, and go‑to‑market teams, and engage directly with strategic customers and partnersQualificationsTechnical ExpertiseStrong experience building and operating distributed systems and services at scaleHands‑on production experience with Kubernetes and the cloud‑native ecosystem (containers, operators, Helm, service mesh, or similar)Proficiency in Go; experience with Python or other systems languages is a plusDeep experience designing APIs and service‑oriented or microservices architecturesSolid background in platform engineering, Dev Ops, or SRE, including CI/CD, infrastructure as code (e.G., Terraform), observability, and reliability engineeringExperience with AI/ML inference (e.G., model serving frameworks such as v LLM, Triton, or KServe; GPU scheduling; performance tuning), or a robust, demonstrated interest in growing deep expertise in this spaceWorking knowledge of networking fundamentals (TCP/IP, routing, BGP, load balancing, overlays) and how they apply to multisite, hybrid, and multi‑cloud environmentsLeadership & ExperienceTrack record of taking new products or platforms from zero to one and through launchComfortable operating in ambiguity and driving decisions with incomplete informationProven ability to influence technical direction across teams without direct authorityExcellent written and verbal communication; able to explain complextechnical concepts to technical and non‑technical audiencesBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experiencePreferred QualificationsExperience with GPU infrastructure and accelerated computing (e.G., NVIDIA GPU Operator, CUDA ecosystem, RDMA/Ro CE/Infini Band)Experience building on or integrating with interconnection or network‑as‑a‑service platforms Pay Ranges#J-18808-Ljbffr

📌 Distinguished Engineer, Ai Infrastructure (Toronto)
🏢 Equinix
📍 Toronto