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Added 22 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Fredericton, NB
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Toronto, ON
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Edmonton, AB
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Victoria, BC
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
St. John's, NL · Greater St. John's Metropolitan Area
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Kitchener, ON
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Calgary, AB
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Vancouver, BC
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Ottawa, ON
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Regina, SK
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Saint John, NB
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Saskatoon, SK
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Burlington, ON
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Moncton, NB
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Winnipeg, MB
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 23 hours ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Halifax, NS
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Senior AWS Cloud Data Platform Engineer
CBL Solutions
Canada
Contract
We are seeking a highly skilled Senior Cloud/Data Engineer to design, build, and operate scalable data and application platforms on AWS. This role requires strong expertise in distributed…
Senior Platform Engineer, Data II
Mistplay
Toronto, ON
Full-time
…données et de lakehouse (par exemple, Snowflake, BigQuery, Databricks, Delta Lake, Iceberg); expérience dans la construction et l'optimisation de systèmes analytiques à grande…
AI Inference Core - Senior SW Engineer for Platform & DevOps
Cerebras
Toronto, ON
Full-time
5+ years of professional experience in platform engineering, DevOps, infrastructure engineering, site reliability engineering, or software engineering.
Senior Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
Full-time
This is a senior engineering role on a multi‑year investment platform transformation that is replacing our core investment book of record with BlackRock Aladdin and building a new cloud…
Data Engineer, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
Full-time
This is an entry‑level engineering role on a multi‑year investment platform transformation that is replacing our core investment book of record with BlackRock Aladdin and building a new…
Senior Fullstack AI Platform Engineer
Kindsight
Canada
Full-time
We’re looking for a Senior Fullstack AI Platform Engineer who wants to build AI systems that actually make it into production.
Senior Artificial Intelligence Platform Engineer, AI Platform & Fabrics
BMO
Toronto, ON · BMOPLACE
Full-time
BMO is building the platform capabilities that make enterprise AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure…
Senior DevOps Engineer: Data & AI Platform
Assent
Ottawa, ON
$125,000 to $160,000 CAD / year
Full-time
The Senior DevOps Engineer, Data & AI Platform is a technical expert dedicated to the infrastructure behind Assent's Data & AI Platform. You bring strong senior-level DevOps expertise and…
Senior DevOps Engineer
MarkiTech.AI
Toronto, ON
$65 to $80 CAD / hour
Contract
Senior DevOps Engineer (alternate: Senior Cloud / Platform Engineer)

Cerebras

AI Inference Core - Senior SW Engineer for Platform & DevOps

Toronto, ON, Canada

Job type: Full-time
Apply by: Sep 27, 2026

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

Jump to the original description

Responsibilities

Design and maintain CI/CD systems and Kubernetes-based platforms to support engineering workflows. Automate infrastructure changes and perform root-cause analysis to improve system reliability and scalability.

Requirements

Requires 5+ years of experience in platform or DevOps engineering with proficiency in Python and Kubernetes. A strong understanding of Linux fundamentals and cloud platforms like AWS is essential.

Experience

5 to 10 years

Education

bachelor degree
postgraduate degree

Working hours

40 hours per week

Work arrangement

On-site

Skills

CI/CD
Kubernetes
Python
AWS
Linux
Terraform
Platform Engineering
DevOps
Infrastructure as Code
Networking
Shell Scripting
Observability
SRE
Containerization
Distributed Systems
Artifact Management

Visa sponsorship

Not detected in the job text

Keywords

AI Inference
Kubernetes
CI/CD
AWS
Terraform
Python
Linux
DevOps
SRE
Platform Engineering
Infrastructure as Code
Helm
Argo CD
DNS
Load Balancing
TLS
mTLS
Distributed Applications
Artifact Repositories
Hybrid Cloud
Semiconductor Manufacturing
Orchestration
Observability
Shell
Unix
Containerization
Root-Cause Analysis
Developer Productivity
Scaling
Automation

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 Team

The Core Infrastructure team builds the software systems that power engineering workflows across Cerebras.

Our infrastructure coordinates complex work across machines, clusters, development environments, and hardware systems. We build orchestration frameworks, execution engines, scheduling systems, test infrastructure, developer tools, and reusable software platforms that allow engineers to build, test, qualify, and deliver software reliably at scale.

These systems are primarily built in Python, but the work goes far beyond scripting or automation. Our frameworks act as the control plane for distributed workflows, managing resources, execution state, concurrency, failures, retries, dependencies, and observability across large and complex environments.

About The Role

We are hiring a Software Engineer to build and operate the platform layer behind Cerebras engineering infrastructure.

You will work on CI/CD systems, Kubernetes, deployment automation, cloud and on-premises infrastructure, developer environments, artifact management, and observability. You will help make the systems engineers depend on reliable, scalable, and easy to operate.

This is an engineering-focused infrastructure role rather than a primarily ticket-driven operations position. You will automate repeated work, debug failures across system boundaries, and turn operational problems into durable software and platform improvements.

We value strong systems fundamentals, independent problem solving, and sound engineering judgment more than familiarity with any particular infrastructure product.

Responsibilities

Design, build, and maintain CI/CD systems supporting build, test, integration, qualification, and release workflows.
Build and operate Kubernetes-based platforms and services used by engineering teams across Cerebras.
Develop deployment systems, internal tools, and self-service workflows that make infrastructure changes repeatable, reviewable, and safe.
Improve infrastructure reliability, capacity, performance, cost efficiency, monitoring, and operational readiness.
Debug issues spanning CI pipelines, Kubernetes workloads, networking, storage, authentication, operating systems, and distributed applications.
Perform root-cause analysis and implement lasting fixes rather than relying on repeated manual intervention.
Partner with software, IT, security, networking, release, and developer-productivity teams to deliver scalable infrastructure solutions.

Skills & Qualifications

5+ years of professional experience in platform engineering, DevOps, infrastructure engineering, site reliability engineering, or software engineering.
Hands-on experience building or maintaining CI/CD pipelines and automated software-delivery workflows.
Experience deploying and operating services using Kubernetes and containerized environments.
Experience with a major cloud platform, preferably AWS, and programmatic infrastructure provisioning.
Strong understanding of Linux or Unix operating-system fundamentals.
Understanding of networking concepts such as DNS, routing, load balancing, proxies, ports, TLS, and service connectivity.
Proficiency in Python, Shell, or another language used to build infrastructure automation and operational tooling.
Experience with monitoring, logging, alerting, dashboards, and incident investigation.
Strong debugging and problem-solving skills, including the ability to investigate issues spanning applications, infrastructure, networking, and operating systems.

Preferred Skills & Qualifications

Experience with infrastructure-as-code tools, specifically Terraform.
Experience with Kubernetes controllers, operators, custom resources, Helm, Argo CD, or similar platform technologies.
Experience managing artifact repositories, package registries, build caches, or software-distribution infrastructure.
Familiarity with build systems, dependency management, and reproducible-build practices.
Experience supporting hybrid environments spanning cloud infrastructure, on-premises systems, and specialized hardware.
Experience with identity and access management, secrets, certificates, TLS, or mTLS.
Experience building internal developer platforms or self-service infrastructure products.
BS/MS in Computer Science or a related field, or equivalent practical experience.

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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