This role is for a senior platform engineer who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate will have ...
This role is for a senior platform engineer who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate will have ...
Senior Platform Backend Engineer
Montreal, QC · On-site
CA$135K - CA$203K/yr
As a Senior Backend Engineer on the Unity Studio team, you will own the cloud services behind the product: real-time multi-user collaboration, build and publishing pipelines, and the platform APIs ...
Senior Platform Backend Engineer
Montreal, QC · On-site
CA$135K - CA$203K/yr
As a Senior Backend Engineer on the Unity Studio team, you will own the cloud services behind the product: real-time multi-user collaboration, build and publishing pipelines, and the platform APIs ...
AI Platform Engineer
Montreal, QC · Hybrid
What You'll Build ????️ As a Senior Software Engineer on our AI Platform, you will architect the intelligent backend that enables conversational game development. * Advanced Multi-Agent ...
Quick apply
AI Platform Engineer
Montreal, QC · Hybrid
What You'll Build ????️ As a Senior Software Engineer on our AI Platform, you will architect the intelligent backend that enables conversational game development. * Advanced Multi-Agent ...
We are seeking a visionary and highly technical Senior Data Platform Engineer to architect, implement, scale, and maintain the data engine powering our next-generation frontier models. In this high ...
We are seeking a visionary and highly technical Senior Data Platform Engineer to architect, implement, scale, and maintain the data engine powering our next-generation frontier models. In this high ...
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation, cloud ...
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation, cloud ...
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation, cloud ...
We are seeking a Senior AWS Platform Engineer to manage platform-level activities across two AWS Organizations. The role is focused on AWS platform administration, Terraform-led automation, cloud ...
We are seeking a Senior Cloud Platform Engineer to join our Central Technology Build Engineering team as we develop and curate an Unreal Engine ecosystem to share across our internal game studios.
We are seeking a Senior Cloud Platform Engineer to join our Central Technology Build Engineering team as we develop and curate an Unreal Engine ecosystem to share across our internal game studios.
Senior Data Platform Engineer (Python) | API's, Analytics & Machine Learning | Hybrid (Montreal) | $
Montreal, QC · Hybrid
$140K - $150K/yr
Senior Data Platform Engineer (Python) | API's, Analytics & Machine Learning | Hybrid (Montreal) | $140,000 - $150,000 CAD + Equity & Benefits The Company They make cities understandable. Not in ...
Quick apply
Senior Data Platform Engineer (Python) | API's, Analytics & Machine Learning | Hybrid (Montreal) | $
Montreal, QC · Hybrid
$140K - $150K/yr
Senior Data Platform Engineer (Python) | API's, Analytics & Machine Learning | Hybrid (Montreal) | $140,000 - $150,000 CAD + Equity & Benefits The Company They make cities understandable. Not in ...
McKesson is seeking a Senior Lead Engineer, Platform Operations & Observability to lead the reliability, observability, and operational excellence of enterprise healthcare technology platforms. In ...
McKesson is seeking a Senior Lead Engineer, Platform Operations & Observability to lead the reliability, observability, and operational excellence of enterprise healthcare technology platforms. In ...
We are seeking a visionary and highly technical Senior ML Data Platform Developer to architect, implement, scale, and maintain the data engine powering our next-generation frontier models. In this ...
We are seeking a visionary and highly technical Senior ML Data Platform Developer to architect, implement, scale, and maintain the data engine powering our next-generation frontier models. In this ...
McKesson is seeking a Senior Lead Engineer, Platform Operations & Observability to lead the reliability, observability, and operational excellence of enterprise healthcare technology platforms. In ...
McKesson is seeking a Senior Lead Engineer, Platform Operations & Observability to lead the reliability, observability, and operational excellence of enterprise healthcare technology platforms. In ...
Mission As a senior technology leader, you will oversee critical operational teams responsible for platform engineering, cloud infrastructure, operational security, service desk operations and end ...
Mission As a senior technology leader, you will oversee critical operational teams responsible for platform engineering, cloud infrastructure, operational security, service desk operations and end ...
Mission As a senior technology leader, you will oversee critical operational teams responsible for platform engineering, cloud infrastructure, operational security, service desk operations and end ...
Mission As a senior technology leader, you will oversee critical operational teams responsible for platform engineering, cloud infrastructure, operational security, service desk operations and end ...
Mission As a senior technology leader, you will oversee critical operational teams responsible for platform engineering, cloud infrastructure, operational security, service desk operations and end ...
Mission As a senior technology leader, you will oversee critical operational teams responsible for platform engineering, cloud infrastructure, operational security, service desk operations and end ...
Senior Product Cybersecurity Engineer - Platform Security Job Location: Montreal, QC Job Code: 44138 Job Schedule: Day Shift Compensation Range: Between $102,0 00 - $ 152,000 CDN annually L3Harris ...
Senior Product Cybersecurity Engineer - Platform Security Job Location: Montreal, QC Job Code: 44138 Job Schedule: Day Shift Compensation Range: Between $102,0 00 - $ 152,000 CDN annually L3Harris ...
CA$1.0K/day
Senior Product Cybersecurity Engineer - Platform Security Job Location: Montreal, QC Job Code: 44138 Job Schedule: Day Shift Compensation Range: Between $102,0 00 - $152,000 CDN annually L3Harris ...
New
CA$1.0K/day
Senior Product Cybersecurity Engineer - Platform Security Job Location: Montreal, QC Job Code: 44138 Job Schedule: Day Shift Compensation Range: Between $102,0 00 - $152,000 CDN annually L3Harris ...
New
Senior Product Cybersecurity Engineer - Platform Security
Montreal, QC · On-site
CA$1.0K/day
Senior Product Cybersecurity Engineer - Platform Security Job Location: Montreal, QC Job Code: 44138 Job Schedule: Day Shift Compensation Range: Between $102,0 00 - $ 152,000 CDN annually L3Harris ...
Senior Product Cybersecurity Engineer - Platform Security
Montreal, QC · On-site
CA$1.0K/day
Senior Product Cybersecurity Engineer - Platform Security Job Location: Montreal, QC Job Code: 44138 Job Schedule: Day Shift Compensation Range: Between $102,0 00 - $ 152,000 CDN annually L3Harris ...
The Opportunity We're looking for a Senior Embedded Software Engineer to help architect and develop ... This role is focused less on feature applications and more on core platform engineering. The ...
The Opportunity We're looking for a Senior Embedded Software Engineer to help architect and develop ... This role is focused less on feature applications and more on core platform engineering. The ...
## Senior Airborne Platform Automation Test Engineer IIIApply: Ottawa, Canada: Full time: Posted Today: R4244**OVERVIEW** As a key member of the Gogo Business Aviation engineering team, the **Automation ...
New
## Senior Airborne Platform Automation Test Engineer IIIApply: Ottawa, Canada: Full time: Posted Today: R4244**OVERVIEW** As a key member of the Gogo Business Aviation engineering team, the **Automation ...
New
Job Requisition ID # 26WD99399 Senior Software Developer- Platform & Emerging Technologies Position Overview Autodesk is seeking a Senior Software Developer to help build the next generation of cloud ...
Job Requisition ID # 26WD99399 Senior Software Developer- Platform & Emerging Technologies Position Overview Autodesk is seeking a Senior Software Developer to help build the next generation of cloud ...
Senior Platform Engineer information
See Quebec salary details
$58.5K - $71K
0% of jobs
$71K - $83.5K
0% of jobs
$83.5K - $96K
2% of jobs
$96K - $108.5K
4% of jobs
$108.5K - $121K
6% of jobs
$128K is the 25th percentile. Wages below this are outliers.
$121K - $133.5K
22% of jobs
The median wage is $143K / yr.
$133.5K - $146K
20% of jobs
$146K - $158.5K
16% of jobs
$163.3K is the 75th percentile. Wages above this are outliers.
$158.5K - $171K
12% of jobs
$171K - $183.5K
12% of jobs
$183.5K - $196K
6% of jobs
$58.5K
$146.4K
$196K
How much do senior platform engineer jobs pay per year?
As of Sep 15, 2026, the average yearly pay for senior platform engineer in Quebec is $146,363.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $167,000.00 per year, depending on experience, location, and employer.
What is a senior platform engineer?
A Senior Platform Engineer is responsible for designing, building, and maintaining scalable infrastructure and developer platforms. They optimize system reliability, automate deployments, and ensure efficient cloud or on-prem environments. This role requires deep expertise in infrastructure-as-code, CI/CD pipelines, cloud services, and system monitoring. They collaborate with development teams to enhance performance, security, and scalability.
What does a senior platform engineer do?
A typical day for a Senior Platform Engineer involves designing and implementing platform solutions, optimizing infrastructure for scalability and reliability, and troubleshooting complex technical issues across multiple systems. You’ll work closely with software development, DevOps, and security teams to ensure smooth deployment and operation of applications. Additionally, you may participate in code reviews, develop automation scripts, and mentor junior engineers. Most senior platform engineers balance hands-on coding with architectural planning and team collaboration.
What are the key skills and qualifications needed to thrive as a senior platform engineer?
To thrive as a Senior Platform Engineer, you need deep expertise in systems architecture, cloud technologies (such as AWS, Azure, or GCP), infrastructure automation, and strong programming skills, typically backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, Terraform, and CI/CD pipelines, as well as certifications like AWS Certified Solutions Architect, are highly valuable. Strong problem-solving abilities, effective communication, and the ability to mentor junior engineers help individuals excel in this role. These skills ensure platforms are scalable, secure, and maintainable, and support high-performance engineering teams.
What are the most commonly searched types of Platform Engineer jobs in Quebec?
The most popular types of Platform Engineer jobs in Quebec are:
What job categories do people searching Senior Platform Engineer jobs in Quebec look for?
The top searched job categories for Senior Platform Engineer jobs in Quebec are:
What cities in Quebec are hiring for Senior Platform Engineer jobs?
Cities in Quebec with the most Senior Platform Engineer job openings:
AI Development Platform Engineer (Associate)
Quebec, QC • On-site
ALLTECH CONSULTING SVC INC
Other
Posted 4 days ago
Job description
Our Company has been at the forefront of the AI journey with applications such as Genome that use AI to provide better, personalized advice to our clients. Generative AI provides further unique opportunities to provide new capabilities to the firm’sinternal users as well as our clients. This role is for a senior platform engineer who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise.
The ideal candidate will have strong hands-on experience of building software platforms on Kubernetes, API based development, REST framework, data engineering, and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements.
Primary Responsibilities:
• Develop tooling and self-service capabilities for deploying AI solutions for the firm.
• Collaborate with other developers to enhance the developer experience when building and deploying AI applications.
• Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
• Leverage Kubernetes/OpenShift to develop modern containerized workloads.
• Leverage container registries like JFrog artifactory, container packaging/configuration management technologies like Helm & Kustomize, and GitOps deployment methods to orchestrate, manage and deploy these workloads.
• Integrate with capabilities such as large-scale vector stores for embeddings.
• Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain.
• Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
• Contribute to major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability.
• Ensure AI platform are reliable, scalable, and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)
• Participate in all team’s Agile/ Scrum ceremonies.
• Develop tooling and self-service capabilities for deploying AI solutions for the firm.
• Collaborate with other developers to enhance the developer experience when building and deploying AI applications.
• Have a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.
• Leverage Kubernetes/OpenShift to develop modern containerized workloads.
• Leverage container registries like JFrog artifactory, container packaging/configuration management technologies like Helm & Kustomize, and GitOps deployment methods to orchestrate, manage and deploy these workloads.
• Integrate with capabilities such as large-scale vector stores for embeddings.
• Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain.
• Analyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.
• Contribute to major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability.
• Ensure AI platform are reliable, scalable, and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)
• Participate in all team’s Agile/ Scrum ceremonies.
Required Skills:
• Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api.
• Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.
• Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.
• Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions.
• Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python.
• Practitioner of unit testing, performance testing and BDD/acceptance testing.
• Understanding of OAuth 2.0 protocol for secure authorization.
• Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
• Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
• Ability to articulate technical concepts effectively to diverse audiences.
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations.
• Understanding of deep learning, understanding of Machine Learning frameworks such as TensorFlow or PyTorch.
• Understanding of Information Security, Secure coding practices.
• Experience in building cloud and container native applications.
• Knowledge of DevOps and Agile practices.
• Excellent communication skills.
• Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api.
• Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.
• Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.
• Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions.
• Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python.
• Practitioner of unit testing, performance testing and BDD/acceptance testing.
• Understanding of OAuth 2.0 protocol for secure authorization.
• Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.
• Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.
• Ability to articulate technical concepts effectively to diverse audiences.
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations.
• Understanding of deep learning, understanding of Machine Learning frameworks such as TensorFlow or PyTorch.
• Understanding of Information Security, Secure coding practices.
• Experience in building cloud and container native applications.
• Knowledge of DevOps and Agile practices.
• Excellent communication skills.
Desired Skills:
• Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
• Good understanding of modern Application configuration techniques.
• Hands on experience with Cloud Application Deployment patterns like Blue/Green.
• Good understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching).
• Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.
• Experience building AI applications, preferably Generative AI and LLM based apps.
• Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph.
• Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
• Understanding of ModelOps/ ML Ops/ LLM Op.
• Understanding of SRE techniques.
• Good knowledge of Microservice based architecture, industry standards, for both public and private cloud.
• Good understanding of modern Application configuration techniques.
• Hands on experience with Cloud Application Deployment patterns like Blue/Green.
• Good understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching).
• Good knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.
• Experience building AI applications, preferably Generative AI and LLM based apps.
• Deep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph.
• Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
• Understanding of ModelOps/ ML Ops/ LLM Op.
• Understanding of SRE techniques.
Qualifications:
• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent job experience
• 5 years of experience in software engineering, design and development
• Bachelor’s or Master’s degree in Computer Science or related field, or equivalent job experience
• 5 years of experience in software engineering, design and development