Jobs in Canada

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Added 1 month ago
Senior Backend Engineer
Norbert Health
Montréal, QC
Experience with container orchestration (Kubernetes)
Added 1 month ago
AI Software Engineer
Quest Software
NS · NB · QC
…Microsoft Graph API, Azure Data Explorer, Cosmos DB, AKS (Azure Kubernetes Service) and ACA (Azure Container Apps) and Event…
Added 1 month ago
AI Software Engineer - Assessments
Quest Software
AB
…Microsoft Graph API, Azure Data Explorer, Cosmos DB, AKS (Azure Kubernetes Service) and ACA (Azure Container Apps) and Event…
Added 1 month ago
AI Software Engineer - Audit
Quest Software
NS
…Microsoft Graph API, Azure Data Explorer, Cosmos DB, AKS (Azure Kubernetes Service) and ACA (Azure Container Apps) and Event…
Added 1 month ago
Développeur(euse) logiciel / Software Developer - Platform Engineering
Genetec
Montréal, QC
Nous recherchons un ingénieur de plateforme passionné par Kubernetes, l'automatisation, l'observabilité, l'expérience développeur et les défis liés au déploiement hybride.
Added 1 month ago
Software Engineer
Scotiabank
Toronto, ON
You have experience with container orchestration technology, like Cloud Foundry or Kubernetes
Added 1 month ago
Senior Engineer – Cloud Platforms & Virtualization
Canada Wind River
ON
Within the Wind River Cloud team, we work with large-scale projects like Kubernetes, Docker, OpenStack and fast-paced Open-Source technologies that are in high demand from our customers.…
Added 1 month ago
Cloud Platform Engineer
CI Investments Inc.
York, ON
Experience deploying and managing Containers and Container Orchestration (eg. Docker and Kubernetes)
Added 1 month ago
Tech Lead - Python
Nearform
Canada
Proven experience working with Kubernetes for container orchestration.
Added 1 month ago
Senior Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- Experience working with container technologies and deploying and operating services on Kubernetes.
Added 1 month ago
Cloud Infrastructure Engineer
Cerebras Systems
Toronto, ON
- Design and implement security controls for AI-powered systems, including controlled, audited, and governed agent workflows, while contributing to core security services such as service…
Added 1 month ago
S
Staff Software Engineer, App Runtime
Snowflake
Toronto, ON
- $291,250 to $341,250 CAD / year
As a Staff/Principal Engineer, you will shape the product and its architecture. It’s a high leverage role - you will lead a team to scale and harden an early-stage, public-preview product.…
Added 5 hours ago
SI
Cloud Engineer
Spait Infotech
Canada
- Full-time
Knowledge of Kubernetes and container orchestration.
Added 11 hours ago
TI
GCP Infrastructure and Cloud SRE Engineer
Tekgence Inc
Toronto, ON
- Contract
Design and implement GKE/Kubernetes-based container platforms.
Added 12 hours ago
F
Staff Security Engineer
Float
Remote, Canada
- Full-time
- Remote
We're hiring Float's first Staff Security Engineer, to own the technical direction of our security platform: application, infrastructure and identity security. Our security team is small…
Added 13 hours ago
B
Staff Software Engineer (Senior Position)
Blazesoft
Concord, ON
- Full-time
API security. OAuth-based auth, request signing (HMAC), idempotency, replay protection, and audit logging.
Added 13 hours ago
F
Cloud Infrastructure/DevOps Developer
Fortinet
Ottawa, ON
- Full-time
We are seeking a Cloud Infrastructure / DevOps Engineer to help design, build, and operate the infrastructure platform supporting our FortiVoice Cloud services. You will work across…
Added 14 hours ago
C
DevOps Engineer
Capgemini
Mississauga, ON
- Full-time
Container Orchestration & Management: Expertise in system administration, managing clusters, deploying, managing, and scaling applications using Kubernetes and Redhat OpenShift.
Added 15 hours ago
WT
Senior DevOps / Platform Engineer (Full Stack)
Wissen Technology
Montreal, QC
- Full-time
Experience with container orchestration platforms such as Kubernetes and GitOps-based deployment models.
Added 1 day ago
V
AI Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a highly skilled AI Engineer with strong expertise in Python, SQL, AWS Bedrock, AWS SageMaker, LangGraph, LLM Fine-Tuning, and Retrieval-Augmented Generation…
Added 1 day ago
I
Global Head of Cloud Platform Engineering
Innocap
Toronto, ON · Montreal, QC
- Full-time
Engineer and operate cloud security guardrails, policy as code, scanning, detection integrations, environment isolation, IAM and RBAC, privileged access, secrets, encryption and…
Added 1 day ago
M
Director of Cloud & Kubernetes Platform
McKesson
Mississauga, ON
- Full-time
We seek a visionary and technically accomplished Director of Cloud & Kubernetes Platform Engineering to lead the design, development, and evolution of our cloud-native platform…
Added 1 day ago
DevOps Engineer
Capgemini
Toronto, ON
This is a full-time opportunity based in the Greater Toronto Area, following a hybrid work model with four days per week in the office
Added 1 day ago
AWS Devops Engineer
Capgemini
Toronto, ON
Knowledge of container security, vulnerability scanning, Kubernetes security controls, IAM/RBAC, and secrets management.
Added 1 day ago
L
Senior Forward Deployment Engineer
Luxoft
Mississauga, ON
- Full-time
Working knowledge of OpenShift, Kubernetes, or comparable container platforms.

Cerebras Systems

Senior Staff AWS Platform Engineer

Toronto, ON, Canada

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

Experience: 10+ years of experience in Cloud Infrastructure, Platform Engineering, Identity & Access Management, Identity Engineering, or Security Engineering.
Posting language: English
Posted: Sep 1, 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.

Responsibilities:

Drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers.
Design and implement IAM, IGA, authentication, authorization, SSO, MFA, identity lifecycle management, and provisioning/deprovisioning solutions using modern identity platforms and standards such as SAML, OAuth2, OIDC, and SCIM.
Develop automation, integrations, and infrastructure-as-code solutions using Terraform and programming languages such as Python and Go.
Design and implement security controls for AI-powered systems, including controlled, audited, and governed agent workflows, while contributing to core security services such as service identity, secrets management, key management, authentication, and authorization.
Partner across Security, Engineering, and Infrastructure teams to drive secure-by-design solutions, implement Zero Trust principles, and reduce operational friction.
Drive technical direction and cross-team initiatives that improve the scalability, reliability, security, and developer experience of our infrastructure.
Write high-quality, reliable code, participate in architecture and code reviews, mentor engineers, and help raise the technical bar across the team.
Support critical production systems and drive operational excellence through scalability, resiliency, observability, and automation.
Participate in on-call and incident response for the Developer Productivity organization.

Skills & Qualifications

10+ years of experience in Cloud Infrastructure, Platform Engineering, Identity & Access Management, Identity Engineering, or Security Engineering.
Proven experience designing and owning complex production infrastructure or platform systems at scale.
Strong knowledge of authentication, authorization, identity lifecycle management, and federation protocols including SAML, OAuth2, OIDC, SCIM, and RBAC.
Experience designing and operating identity and access controls within AWS environments, with hands-on experience building and operating production-level services on AWS.
Experience working with container technologies and deploying and operating services on Kubernetes.
Strong automation and coding skills with Python or Go, along with Terraform or similar IaC technologies.
A security-first mindset with experience implementing Zero Trust, least-privilege access, and compliance frameworks such as SOC2, FedRAMP, or ITAR.
A strong platform and operational mindset, with experience supporting and improving production services through monitoring, troubleshooting, incident response, and automation.
Demonstrated ability to influence technical direction, drive cross-team initiatives, and mentor other engineers.
Excellent collaboration and communication skills, with a proven ability to work across teams and influence technical decisions.

Preferred Skills & Qualifications

Hands-on experience with identity platforms such as Okta, Microsoft Entra ID (Azure AD), or modern IAM/IGA platforms.
Experience with Azure and/or GCP is a bonus.

Why Join Cerebras

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 on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The Senior Staff AWS Platform Engineer at Cerebras Systems will design and build identity and access systems, write automation and infrastructure-as-code, and set secure-by-design direction with other teams. They will also support production systems and take part in on-call and incident response.

Requirements

Candidates need 10+ years in cloud, platform, identity or security engineering, with hands-on AWS and Kubernetes experience and strong Python or Go coding skills. They also need knowledge of federation protocols such as SAML, OAuth2, OIDC and SCIM, plus a security-first mindset.

Skills

AWS
Identity and Access Management (IAM)
Identity Governance and Administration (IGA)
Single Sign-On (SSO)
Multi-factor authentication (MFA)
SAML
OAuth2
OpenID Connect (OIDC)
SCIM
Role-based access control (RBAC)
Terraform
Infrastructure as code
Python
Go
Kubernetes
Container technologies
Zero Trust
Least-privilege access
SOC2
FedRAMP
ITAR
Okta
Microsoft Entra ID
Azure
Google Cloud Platform

Keywords

AWS
Identity and Access Management
IAM
IGA
SSO
MFA
SAML
OAuth2
OIDC
SCIM
RBAC
Terraform
Python
Go
Kubernetes
Zero Trust
least privilege
SOC2
FedRAMP
ITAR

Seniority

senior

Department

software_development

Tools

AWS
Kubernetes
Terraform
Python
Go

Languages

English

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Work requirements

Jobs in Canada