Software engineer jobs in Mississauga, ON and nearby

Within 25 km

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Added 3 months ago
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Tech Lead Software Engineer
Nubank
Toronto, ON
- Full-time
…the best financial products. We strive for state-of-the-art software development practices that currently include a variety of technologies. While we value candidates that are familiar with…
Added 3 months ago
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Software Engineer
Floqer
Toronto, ON
- Full-time
We’re hiring a full-time Software Engineer to join our on-site team in Toronto. You’ll own problems end-to-end and work directly with both customers and internal teams.
Added 2 months ago
UM
Principal Backend Engineer
US Mobile
Toronto, ON
- Full-time
We're looking for an exceptional backend engineer and hands-on architect to help us scale and connect millions of devices to wireless networks. The projects and potential impact are…
Added 3 months ago
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Cluster Operations Software Engineer
Cerebras
Toronto, ON
- Full-time
We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the…
Added 3 months ago
MC
Senior Software Engineer - Brokerage Platform
Moomoo Canada
Toronto, ON
- Full-time
We are looking for an experienced Senior Software Engineer to join our engineering team in Toronto.
Added 2 months ago
Senior Software Engineer, Atlas Search Systems
MongoDB
Toronto, ON
5+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software in a complex codebase
Added 2 months ago
Senior Software Engineer, Full-Stack & Frontend
MultiTech
Toronto, ON
7+ years of professional software engineering experience with a strong emphasis on scalable frontend architectures.
Added 2 months ago
Senior Software Engineer - Cloud Platform & Data Architecture
MultiTech
Toronto, ON
Deep understanding of software architecture, distributed systems, and modern design patterns.
Added 2 months ago
Software Engineer, Full-Stack Applications, Associate Director (Python & React)
Fitch Group
Toronto, ON
Fitch Ratings is seeking a solid Software Engineer to join our global Ratings Technology team in Toronto. This is an opportunity to build and enhance mission-critical applications that…
Added 2 months ago
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Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Lead Software Engineer, Full-Stack Applications – AI Fluent
Added 3 months ago
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Software Engineer
Opendoor
Toronto, ON
- Full-time
Deep software engineering experience with a track record of shipping production systems others depend on
Added 3 months ago
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Senior Software Architect
Prophix
Toronto, ON
- Full-time
10+ years of software engineering experience, with a significant portion spent in a software architecture or principal engineer role within a SaaS or cloud-native product environment
Added 3 months ago
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Staff Backend Software Engineer
Cognichip
Toronto, ON
- $184,000 to $225,000 CAD / year
- Full-time
We operate on a hybrid schedule with four days in office, one day remote
Added 3 months ago
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Senior/Staff Software Engineer, Data Platform
Terminal
Toronto, ON
- $200,000 to $295,000 CAD / year
- Full-time
Terminal builds telematics data infrastructure for the commercial fleet industry. Commercial auto insurers and fleet software companies, including industry leaders like Intact Insurance,…
Added 3 months ago
PA
AI Software Engineer, Product
Palona AI
Toronto, ON
- Full-time
We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing…
Added 3 months ago
PA
AI Software Engineer, Growth
Palona AI
Toronto, ON
- Full-time
We are looking for an AI Full-Stack Engineer who treats growth as an engineering and product discipline. You will own web experiences, experimentation, SEO and generative-engine…
Added 3 months ago
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Senior Software Engineer
Clutch
Toronto, ON
- $160,000 to $200,000 CAD / year
- Full-time
…design thoughtful solutions and user experiences, build scalable software, and measure business…
Added 3 months ago
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Principal Software Engineer, Money Movement (Questbank)
Questrade Financial Group
Toronto, ON
- Full-time
Work-life balance in a hybrid environment with at least 3 days in office
Added 2 months ago
Staff Backend Engineer, Passwordless
Okta
Toronto, ON
We are looking for a Staff Software Engineer to join the Passwordless team. As a Staff Engineer, you will be a technical leader, making large, independent contributions and shaping the…
Added 2 months ago
Senior Software Engineer, Recommendations
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 2 months ago
C
Senior Software Engineer, Java and AI Development - Vice President
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated and skilled Senior Software Engineer to join our innovative team, blending backend development expertise with emerging AI technologies.
Added 2 months 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 3 months ago
E
Senior SDET (IC4) - Senior Software Engineer in Test
Emburse
Toronto, ON
- Full-time
Emburse is seeking a skilled and detail-oriented Senior Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 3 months ago
E
SDET III (IC3) - Software Engineer in Test III
Emburse
Toronto, ON
- Full-time
Emburse is seeking a skilled and detail-oriented Software Development Engineer in Test (SDET) to join our engineering team. In this role, you will bridge the gap between software…
Added 2 months ago
Principal Software Engineer – Developer Platform (Auth0)
Okta
Toronto, ON
We're hiring a Principal Engineer (P5) to serve as the technical leader and compass for the Developer Platform team. You'll work across the breadth of the platform, tackling the highly…

Cerebras

Cluster Operations Software Engineer

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing.
Posting language: English
Posted: Aug 13, 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.

The Role

We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate with an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power.

You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep understanding of Linux-based systems, containerization technologies, and experience with monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with expertise in large-scale compute infrastructure, dependable and an advocate for customer success.

Responsibilities

Deploy, configure, and debug container-based services using Docker.
Build and own software solutions that power cluster operations, including monitoring platforms, workflow automation systems, operational dashboards, and reliability tooling.
Collaborate with cross-functional teams to translate operational requirements into scalable O&M products and platform capabilities.
Develop APIs, automation services, and integrations that improve operational visibility, incident response, and fleet management across global AI infrastructure.
Manage and operate multiple advanced AI compute infrastructure clusters.
Monitor and oversee cluster health, proactively identifying and resolving potential issues.
Maximize compute capacity through optimization and efficient resource allocation.
Provide 24/7 monitoring and support, leveraging automated tools and performing hands-on troubleshooting as needed.
Handle engineering escalations and collaborate with other teams to resolve complex technical challenges.
Stay up-to-date with the latest advancements in AI compute infrastructure and related technologies.

Skills And Requirements

6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing.
Proficient in Python and Go, with experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments.
Experience and Expertise in distributed systems is a must.
Deep understanding of Linux-based compute systems and command-line tools.
Extensive knowledge of Docker containers and container orchestration platforms like k8s.
Proven ability to troubleshoot and resolve complex technical issues in a timely and efficient manner.
Experience with monitoring and alerting systems.
Should have a proven track record to own and drive challenges to completion.
Excellent communication and collaboration skills.
Ability to work effectively in a fast-paced environment.
Willingness to participate in a 24/7 on-call rotation.

Preferred Skills And Requirements

Operating and Managing large scale AI clusters.
Knowledge of technologies like Ethernet, RoCE, TCP/IP, etc. is desired.
Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure).

Location

SF Bay Area.
Toronto, Canada.
Bangalore, India.

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 on LinkedIn About employer

More about this job

Responsibilities

Manage and operate large-scale AI compute clusters using the Wafer-Scale Engine to ensure high availability and performance. Develop software solutions for monitoring, automation, and fleet management to optimize compute capacity.

Requirements

Requires 6-8 years of experience in complex compute infrastructure with proficiency in Python, Go, and containerization technologies. Candidates must have deep expertise in Linux-based systems and distributed systems, with a willingness to participate in a 24/7 on-call rotation.

Skills

Python
Go
Docker
Kubernetes
Linux
Distributed Systems
Cluster Operations
Monitoring and Alerting
Workflow Automation
API Development
Ethernet
RoCE
TCP/IP
Cloud Computing
High Performance Computing
Troubleshooting

Visa sponsorship

Not detected in the job text

Keywords

AI Chip
Wafer-Scale Engine
WSE
Machine Learning
HPC
Docker
K8s
Python
Go
Linux
Distributed Systems
RoCE
TCP/IP
Ethernet
AWS
GCP
Azure
Cluster Operations
Infrastructure
Monitoring
Automation
API
Reliability Tooling
Inference
Training
Semiconductor
Compute Capacity
Fleet Management
On-call
Scalable O&M

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Software engineer jobs in Mississauga, ON and nearby

Tech Lead Software Engineer

Software Engineer

Principal Backend Engineer