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Added 2 mins ago
Manager, Centre of Excellence in Hypertension and Vascular Health
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
Full-time
Lead and support the development of competitive grant applications to provincial, national, international, foundation, and institutional funding programs.
Added 2 mins ago
Animal Resources Division Manager – Montreal General Hospital Site
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
Full-time
…animal facility staff working in these facilities, budget, operations, resource allocation, infrastructure and equipment. Ensures an operational support to the Investigators and their…
Added 33 mins ago
National Service Coordinator
Siemens
Quebec, QC
Full-time
Monitor service schedules and proactively communicate changes or delays to customers and internal stakeholders (such as business unit project managers, sales and operations).
Added 33 mins ago
Track Maintenance Welder
Siemens
Oakville, ON
$39 to $43 CAD / hour
Full-time
…responsible for corrective and preventative welding of various rail infrastructure components. He/she also supports emergency response and performs track inspection, when required. The…
Added 33 mins ago
National Service Coordinator
Siemens
Montreal, QC
Full-time
Monitor service schedules and proactively communicate changes or delays to customers and internal stakeholders (such as business unit project managers, sales and operations).
Added 47 mins ago
Staff UX Researcher
Okta
Toronto, ON
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work…
Added 1 hour ago
Staff UX Researcher
Okta
Toronto, ON
$140,000 to $193,000 CAD / year
Full-time
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work…
Added 1 hour ago
Senior Manager, Engineering & Build
Royal Bank of Canada
Toronto, ON
Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…
Added 2 hours ago
Senior Enterprise Information Data Architect (35902)
Myticas Consulting
Canada
Contract
This is not a website, application or infrastructure architecture role. The focus is enterprise information and data architecture.
Added 2 hours ago
Advisor, Talent Acquisition Marketing
Glencore Canada
Sparwood, BC
$85,000 to $100,200 CAD / year
Full-time
EVR is proud to be part of the Glencore Group, contributing to a global portfolio of operations with a history that dates back more than 100 years in Canada.
Added 2 hours ago
Manager, Legal Affairs
Pomerleau
Toronto, ON
$174,000 to $225,000 CAD / year
Full-time
…will provide strategic legal leadership to support Pomerleau's operations and major construction and infrastructure projects across Canada. Acting as a trusted advisor to senior leaders and…
Added 3 hours ago
Senior Talent Acquisition Advisor
Worley
Markham, ON
Full-time
…across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating…
Added 3 hours ago
Worldwide Sales Cloud & AI Global Lead
Microsoft
Toronto, ON
Full-time
…customer-obsessed and partner-driven, unlocking innovation from secure infrastructure to collaborative AI-powered productivity and intelligent business applications. Join us and lead the…
Added 3 hours ago
Milton Maintenance Technician - Controls & Automation
Eaton Corporation
Milton, ON
Full-time
…site engagement events. We are committed to powering Canadian infrastructure in an environmentally friendly and energy-efficient way and are looking to hire passionate individuals who are…
Added 3 hours ago
Superintendent, Execution
Newmont Corporation
BC · Kitimat-Stikine A, BC
Full-time
Lead a multidisciplinary team to safely deliver sustaining capital projects in alignment with operational and business priorities.
Added 3 hours ago
Facilities Consultant - Architectural (Canada)
Gordian
Canada
Full-time
Collaborate with facility managers, operations staff, and client stakeholders to understand building history, maintenance practices, and operational requirements.
Added 3 hours ago
Client Solutions Executive
Insight
Toronto, ON
Full-time
Connect client priorities to Insight solutions and services across cloud, data, AI, cybersecurity, infrastructure, intelligent edge, managed services, and consulting.
Added 3 hours ago
Project Engineer, Technical Services
ATCO Group
Edmonton, AB
Full-time
…important and complex projects critical to our business. Our operations across multiple business lines and geographies mean ATCO fosters ample development and learning opportunities for…
Added 4 hours ago
Program Director – Wireline Network Transformation & Delivery
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Toronto, ON · Greater Toronto Area, Canada
Full-time
…clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
Talent Product Operations Associate
Infoblox
Burnaby, BC
…build is world class: named CybersecAsia’s Best in Critical Infrastructure 2024 - clear evidence that when first-class technology meets empowered talent, remarkable careers take shape. So,…
Added 4 hours ago
Director, AI Governance and Adoption (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
Full-time
Technology & Infrastructure (T&I) is the backbone and the future-forward arm of CBC/Radio-Canada. Our purpose is to constantly innovate to evolve and maintain the Corporation’s technology…
Added 4 hours ago
Senior Manager, Strategic Planning and Delivery - Enterprise AI (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
Full-time
Technology & Infrastructure (T&I) is the backbone and the future-forward arm of CBC/Radio-Canada. Our purpose is to constantly innovate to evolve and maintain the Corporation’s technology…
Added 4 hours ago
Director, AI Innovation Enablement (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
Full-time
Technology & Infrastructure (T&I) is the backbone and the future-forward arm of CBC/Radio-Canada. Our purpose is to constantly innovate to evolve and maintain the Corporation’s technology…
Added 4 hours ago
Director, AI Enterprise Data Governance (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
Full-time
Technology & Infrastructure (T&I) is the backbone and the future-forward arm of CBC/Radio-Canada. Our purpose is to constantly innovate to evolve and maintain the Corporation’s technology…
Added 4 hours ago
EHS Advisor - AOTHR
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Kawartha Lakes, ON · Barrie, ON · Toronto, ON
Aecon delivers some of the most complex and impactful infrastructure projects - from transformative transportation networks to critical energy, industrial and nuclear programs. The projects…

Cerebras

Staff Site Reliability Engineer – Automation and Platform

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 21, 2026
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About The Role

We are building a high-performance SRE function to support one of the world’s fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE). This team will help deliver world-class, ultra-reliable inference infrastructure for leading model builders such as OpenAI and other frontier labs.

As a Staff SRE, you will lead the engineering effort to eliminate toil at scale by driving implementation of self-service delivery pipelines, shared observability common tooling. This role starts with ~1 month of hands-on operational immersion to gain deep familiarity with our current stack, production pain points, and high-stakes workflows.

From there, your primary focus shifts to architecting and delivering the "tomorrow" layer: declarative GitOps-driven CD for model releases, capacity provisioning and cluster upgrades. Success over the first year in this role will be defined by enabling core teams, product managers, external customers, and cluster stakeholders to operate in a fully self-service model with strong reliability guarantees.

You will partner with our early-career SRE sub-team, who own day-to-day operations. This will allow you to deeply understand their pain points, automate their toil, and mentor them as platform engineers.

You will collaborate with the tech leads and the leadership team across core, cluster, cloud, and product stakeholders. This work will shift reliability from an ops-only burden to a shared engineering discipline that underpins frontier AI inference at scale.

If you are a proven Staff+ engineer who enjoys turning complexity into elegant reliability at scale, this is your chance to lead this transformation from the front.

This role does not require 24/7 on-call rotations.

Key Responsibilities

Define and implement a robust strategy for delivering and running software reliably and at scale across multiple datacenters and cloud-based solutions.
Architect self-service platforms and internal tooling that lets product teams, external customers, and cluster operators safely trigger and observe critical workflows with minimal handoffs.
Define and evolve reliability practices for inference workloads, including SLOs and SLIs for latency, throughput, and accuracy stability; error budgets; blameless postmortems; chaos testing; and capacity forecasting across multi-datacenter and on-prem environments.
Mentor mid-level SREs, support critical incident escalations, and use production pain points to prioritize the highest-leverage automation work.
Measure and drive impact through clear metrics, including toil reduction, deployment velocity, SLO compliance, MTTR, and adoption of self-service workflows.

Required Experience & Skills

8+ years in SRE, infrastructure engineering, or platform engineering, with a strong record of improving automation and reliability at large scale in FAANG, hyperscaler, or similarly demanding environments.
Deep expertise operating large scale heterogenous clusters with a proprietary cloud control plane
Proven track record designing and delivering CI/CD or GitOps systems using Argo CD or similar tools, with strong safety and observability built in.
Hands-on experience with observability systems such as Loki, Tempo, Mimir, and Prometheus
Ability to lead complex projects end to end, influence cross-functional stakeholders, and communicate technical direction clearly.

Nice-to-Haves

Experience with Bazel or other large-scale build systems in production.
Background in AI/ML inference systems, including model serving runtimes, GPU or wafer-scale orchestration, latency and accuracy SLOs, or drift monitoring.
Prior work on predictive autoscaling, chaos engineering, or cost-aware capacity planning for compute-intensive workloads.

Location

SF Bay Area
Toronto

Why Join Cerebras

About

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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More about this job

Responsibilities

Architect and deliver self-service, GitOps-driven platforms and automation for model releases, capacity provisioning, and cluster upgrades across datacenters and cloud environments. Establish and improve reliability practices and metrics for inference workloads while mentoring SREs and partnering with engineering, product, customer, and cluster stakeholders.

Requirements

Requires 8+ years of SRE, infrastructure, or platform engineering experience, including large-scale heterogeneous cluster operations and a proprietary cloud control plane. Candidates should have delivered safe, observable CI/CD or GitOps systems, be experienced with observability tools such as Prometheus, Loki, Tempo, and Mimir, and be able to lead complex cross-functional projects.

Skills

Site Reliability Engineering
Infrastructure Engineering
Platform Engineering
Automation
GitOps
Argo CD
CI/CD
Observability
Prometheus
Loki
Tempo
Mimir
SLOs and SLIs
Incident Management
Capacity Planning
AI/ML Inference Systems

Visa sponsorship

Not detected in the job text

Keywords

Site Reliability Engineering
Infrastructure Engineering
Platform Engineering
Automation
Self-Service Platforms
GitOps
Argo CD
CI/CD
Model Releases
Capacity Provisioning
Cluster Upgrades
Heterogeneous Clusters
Cloud Control Plane
Observability
Loki
Tempo
Mimir
Prometheus
SLOs
SLIs
Error Budgets
Blameless Postmortems
Chaos Testing
Capacity Forecasting
AI/ML Inference
Model Serving
Predictive Autoscaling
Bazel
Toil Reduction
Incident Management

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