Software engineer jobs in Toronto, ON and nearby

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Added 1 month ago
M(
[C] Software Engineer
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON
- Full-time
…that support our fans, teams and venues. We are looking for a Software Engineer to build and maintain full-stack features across our web applications and APIs. You will work in a small…
Added 1 month ago
M(
[C] Senior Software Engineer - Developer Platform
MLSE (Maple Leaf Sports & Entertainment Partnership)
Toronto, ON
- Full-time
We are looking for a senior, hands-on software engineer with broad experience across software development, cloud infrastructure, DevOps, and developer tooling. You should be comfortable…
Added 1 month ago
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Senior Software Engineer
GreatPeople.Tech
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
The Senior Software Developer is responsible for designing, developing, securing, and supporting full-stack business applications using Microsoft technology, including C#, .NET, Visual…
Added 1 month ago
RC
test automation engineer - software
Raenan Consultancy
Toronto, ON
- Full-time
Added 1 month ago
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Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
8 years of total software quality engineering experience with at least 3 years in a Lead or Principal QA capacity.
Added 1 month ago
Lead Software Engineer
Capgemini
Mississauga, ON
4. The software engineer builds skills and expertise of his or her software engineering discipline to reach standard software engineer skills expectations for the applicable role as defined…
Added 1 month ago
Site Reliability Engineer - OpenShift
Capgemini
Toronto, ON
Capgemini is looking for a Production support Engineer to work for the Commercial Line of Business. An ideal candidate should be the one that has experience as outlined below :-
Added 1 month ago
Software Engineer
Capgemini
Mississauga, ON
Successful candidate will be required to work from the client's Ottawa office 3 days per week, with the remaining days worked remotely
Added 1 month ago
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Software Engineer III
TD
Toronto, ON
- Full-time
Consult on development of requirements and specifications and apply functional knowledge of business functions to design optimal software / systems
Added 1 month ago
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Principal Backend Engineer Vice President
Citi
Mississauga, ON
- Full-time
Citi is looking for a Principal Backend Engineer to take strategic ownership of the backend systems powering a global digital experience platform that serves hundreds of thousands of…
Added 1 month ago
CI
Senior Software Engineer Real Assets, Alternative Investments Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Senior Software Engineer, you will design, build, test and support technology solutions and products that enable business capabilities across CPP Investments. You will partner closely…
Added 1 month ago
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Software Engineer - Observability
eBay
Toronto, ON
- Full-time
As a Software Engineer on this team, you will design and build scalable distributed systems with Golang / Python that power metrics, logs, traces, and related observability workflows across…
Added 1 month ago
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Lead Senior Software Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
…external vendor partners. We are looking for a lead senior software engineer, a seasoned technologist to build cutting-edge, products and solutions in cloud environments. You'll join a very…
Added 1 month ago
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Principal Software Engineer - Zynque
Fulfillment IQ
Toronto, ON
- Full-time
Job Title: Principal Software Engineer - Zynque
Added 1 month ago
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Lead Senior Software Engineer
RBC
Toronto, ON
- Full-time
…external vendor partners. We are looking for a lead senior software engineer, a seasoned technologist to build cutting-edge, products and solutions in cloud environments. You'll join a very…
Added 1 month ago
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Mulesoft Software Engineer II
TD
Toronto, ON
- Full-time
Adhere to enterprise frameworks or methodologies that relate to software engineering activities
Added 1 month ago
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Software Engineer II (SDET)
TD
Toronto, ON
- Full-time
Adhere to enterprise frameworks or methodologies that relate to software engineering activities
Added 1 month ago
Senior Software Engineer, iOS (All Teams)
DoorDash Canada
Toronto, ON
Added 1 month ago
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Software Engineer III (Adobe Tech Lead)
TD
Toronto, ON
- Full-time
Added 1 month ago
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Software Engineer, Vice President
Citi
Mississauga, ON
- Full-time
At least 3-5 years of professional Software Development experience
Added 1 month ago
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Azure Cloud Engineer
Yochana
Toronto, ON
- Full-time
We are looking for an experienced Azure Cloud Engineer with 6 to 8 Years of experience to manage, support, and automate enterprise Azure infrastructure environments.
Added 1 month ago
3T
Site Reliability Engineer
360 Technology
Toronto, ON
- Full-time
Added 1 month ago
Staff Software Engineer, Notification Hub & Experience
DoorDash Canada
Toronto, ON
We are looking for a Staff Backend Engineer to join our team. As a Staff Engineer, you are a technical leader and trusted advisor - you set the engineering excellence bar, own ambiguous…
Added 1 month ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Staff Software Engineer
Added 1 month ago
AI
Cloud Engineer
Apptoza Inc.
Toronto, ON
- Contract
Work Schedule: 5 days per week

Cerebras

Staff Site Reliability Engineer – Automation and Platform

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Sep 23, 2026

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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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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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Software engineer jobs in Toronto, ON and nearby