Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 11 hours ago
Staff Security Engineer - Bot & Traffic Defence
Faire
Toronto, ON · Kitchener, ON
As a Staff Security Engineer, Bot & Traffic Defence, you will be the first dedicated owner of this domain. You will set the technical direction, build the controls and signals that back it,…
Added 12 hours ago
Staff Software Engineer, Data Platform
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
…significant equity in a company. Okta is about to change the cloud computing landscape…
Added 12 hours ago
Staff Software Engineer, Data Platform
Okta
Toronto, ON
…significant equity in a company. Okta is about to change the cloud computing landscape…
Added 14 hours ago
Staff Backend Engineer - Digital Credentials
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
As a Staff Backend Engineer on the Okta Digital Credentials (ODC) team, you will define the technical direction of a new VDC identity ecosystem and set the standard for how we build it.
Added 16 hours ago
Technical Delivery Manager
Jolera
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
…management, robust data backup and recovery solutions, seamless cloud and on-premise migrations, enterprise-grade security services, and round-the-clock, 24/7/365 quad-lingual end user…
Added 18 hours ago
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 1 day ago
Staff Information Security Engineer - Threat Detection & Response
Visier Solutions Inc
Vancouver, BC
…processes. Operating within a high-leverage team, you will scale our security capabilities through advanced engineering and AI, directly safeguarding our multi-cloud platform, corporate…
Added 1 day ago
Staff Software Engineer
Atlas HXM
Canada
We’re looking for a Staff Software Engineer (Product) to help shape the technical evolution of our product. This is a senior individual contributor role focused on building high-quality…
Added 4 days ago
Windows Engineer II
TD
Toronto, ON
Full-time
We are seeking an experienced Senior Windows Engineer to join our Windows Engineering team. The successful candidate will be responsible for developing enterprise Windows standards,…
Added 4 days ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration,…
Added 4 days ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
Citco is a global leader in fund services, corporate governance and related asset services with staff across 80 offices worldwide. With more than $1 trillion in assets under administration,…
Added 4 days ago
Lead Engineer
Raymond James Ltd.
Vancouver, BC
Full-time
The Lead Engineer is the senior technical engineering lead within Digital Workplace & Platform, responsible for improving the stability, resilience, automation, control effectiveness, and…
Added 4 days ago
Lead Engineer
Raymond James
Vancouver, BC
Full-time
The Lead Engineer is the senior technical engineering lead within Digital Workplace & Platform, responsible for improving the stability, resilience, automation, control effectiveness, and…
Added 4 days ago
Senior Customer Engineer, Named - Toronto Canada
Cloudflare
Toronto, ON
…Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a…
Added 4 days ago
Staff Software Engineer
Okta
Toronto, ON
$160,000 to $220,000 CAD / year
Full-time
…empowers organizations to build identity-centric workflows across cloud applications - all without writing code. Our intuitive drag-and-drop interface allows enterprises to automate complex…
Added 4 days ago
Staff Software Engineer
Okta
Toronto, ON
…empowers organizations to build identity-centric workflows across cloud applications - all without writing code. Our intuitive drag-and-drop interface allows enterprises to automate complex…
Added 4 days ago
Engineering Manager, Okta Access Gateway
Okta
Toronto, ON
Enterprises run on a mix of modern cloud services and mission-critical on-premises systems (such as Oracle E-Business Suite, SAP, PeopleSoft, and custom legacy web apps). Okta Access…
Added 4 days ago
Engineering Manager, Okta Access Gateway
Okta
Toronto, ON
$168,000 to $231,000 CAD / year
Full-time
Enterprises run on a mix of modern cloud services and mission-critical on-premises systems (such as Oracle E-Business Suite, SAP, PeopleSoft, and custom legacy web apps). Okta Access…
Added 4 days ago
Staff AI Engineer (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
We're looking for an experienced Staff AI Engineering (Global Security) expert who will bring
Added 5 days ago
Staff AI Engineer (Global Security)
RBC
Toronto, ON
Full-time
We're looking for an experienced Staff AI Engineering (Global Security) expert who will bring
Added 5 days ago
CTO | VC-backed AI | Relocate to Barcelona | €120–150k + equity
Ink
Toronto, ON
Full-time
Ink is a well-funded AI company backed by 500 Global, one of the earliest technical leaders at Google DeepMind + members of Anthropic’s technical team as angels, and other leading VCs.
Added 5 days ago
Staff Software Engineer / Architect - AI, CoCounsel FDE
Urban Ridge Supplies
Toronto, ON
Full-time
Thomson Reuters is looking for a Staff Software Engineer / Architect – AI to join our CoCounsel Forward Deployed Engineering team.
Added 5 days ago
Principal Software Engineer / Architect – AI, CoCounsel FDE
Urban Ridge Supplies
Toronto, ON
Full-time
Are you a Principal-level software engineer who enjoys solving complex customer problems while remaining deeply hands-on with technology?
Added 6 days ago
Staff Marketing Technology Engineer
Absorb
Remote, Canada
Full-time · Remote
Absorb Software is looking for a Marketing Technology Engineer to own and evolve the technology behind our data-driven and AI-driven marketing. This is a dual mandate. On one side, you’ll…
Added 6 days ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and operations office, you will design, implement, and support enterprise data architecture…

Cerebras

Sr. Staff Software Engineer, Inference Platform

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 1, 2026
Experience: 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
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're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter clusters, connecting cloud components with machine learning services. We are often the first team to face problems that haven't been solved yet, leading solutions across Kubernetes operators, service security policies, and CI/CD.

If you're interested in building the next-generation architecture of a globally distributed inference platform, we'd like to talk.

Responsibilities

Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization.
Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards.
Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes custom resource definitions, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas.
Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Drive system-level improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand.
Execution on Critical Paths. Write and review production code in the most important parts of the platform. Make high-consequence architectural decisions within your area and set the technical bar through design reviews, code reviews, and sound engineering judgment.
Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor.
Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate product and business requirements into scalable system designs, and drive alignment on shared technical decisions within your domain and adjacent platform surfaces.

Skills & Qualifications

8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
Deep expertise in distributed systems architecture, ideally with Kubernetes.
Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale.
Experience with security (certificates, TLS, mTLS).
Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus.
Strong proficiency in backend or systems languages such as Go or C++, with the expectation that you can contribute production code directly.
Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations.
Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems.
Preferred Skills & Qualifications
Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

Location: Sunnyvale or Toronto preferred

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.

Apply About employer

More about this job

Responsibilities

Design, build, and operate the inference platform, including its Kubernetes orchestration layer, while shaping architecture, technical roadmaps, reliability, performance, and security. Lead critical production work and incidents, set engineering standards, and align with ML, Product, Infrastructure, and Cloud teams on scalable system designs.

Requirements

Requires 8+ years of software engineering experience, substantial hands-on work with large-scale distributed systems or cloud infrastructure, and deep expertise in distributed architecture, ideally with Kubernetes. Candidates should be proficient in Go or C++, experienced with highly available and latency-sensitive systems, security, observability, and SLO-driven operations; ML inference or GPU workload experience is preferred.

Skills

Distributed Systems
Kubernetes
Cloud Infrastructure
Go
C++
High Availability
Latency Optimization
Throughput Optimization
TLS
Mutual TLS
Observability
Reliability Engineering
Incident Response
Service Security
Machine Learning Inference
Model Serving

Visa sponsorship

Not detected in the job text

Keywords

Inference Platform
Distributed Systems
Kubernetes
Kubernetes Operators
Custom Resource Definitions
Cloud Infrastructure
Go
C++
Active-Active Systems
Failover
Graceful Degradation
Service Security Policies
Certificates
TLS
Mutual TLS
High-QPS Systems
Time To First Token
Tail Latency
Observability
Metrics
Logging
Tracing
Alerting
SLOs
Incident Response
Capacity Planning
CI/CD
Machine Learning Inference
Model Serving
GPU-Accelerated Workloads

Report this job