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

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. Define and own the multi-year technical vision and reference architecture for AI infrastructure across Equinix, aligning product, platform, and network strategy Influence executive leadership and company-wide technology investments,



and represent Equinix with strategic customers, partners, standards bodies, and industry forums Mentor and develop Senior Principal and Principal Engineers, and shape the technical talent bar for the organization Build AI Infrastructure Products Design, build, and operate infrastructure and inference-related products and services, and the APIs customers use to consume them Write production-quality code, primarily in Go, and set a high bar for code quality, testing, and design reviews Design API-first, service‑oriented architectures that are secure, well documented, and easy for customers and partners to integrate with Architect and run platforms and services that scale across Equinix’s global data center footprint Apply platform engineering, DevOps, and SRE practices (automation, CI/CD, infrastructure as code, observability, SLOs, incident response) so that what we launch stays reliable at scale Identify and resolve systemic reliability, performance, and cost issues across the platform Networking & Interconnection Integrate 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 environments Partner with network architecture and product teams to design low‑latency, resilient connectivity for distributed inference Technical Leadership & Mentorship Mentor and grow engineers, raise the technical bar, and help build a strong engineering culture on a new team Collaborate with Product, Engineering, Security, Operations, and go‑to‑market teams, and engage directly with strategic customers and partners Technical Expertise Strong experience building and operating distributed systems and services at scale experience with Python or other systems languages is a plus Solid background in platform engineering, DevOps, or SRE, including CI/CD, infrastructure as code (e.g., Experience with AI/ML inference (e.g., model serving frameworks such as vLLM, Triton, or KServe; performance tuning), or a solid, demonstrated interest in growing deep expertise in this space Working knowledge of networking fundamentals (TCP/IP, routing, BGP, load balancing, overlays) and how they apply to multisite, hybrid, and multi‑cloud environments Proven ability to influence technical direction across teams without direct authority able to explain complex technical concepts to technical and non‑technical audiences Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Experience building on or integrating with interconnection or network‑as‑a‑service platformsPay Ranges #

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