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Added 1 hour ago
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Senior Manager, Organic Growth
Mistplay
Toronto, ON
- $120,000 to $165,000 CAD / year
- Full-time
Mistplay is seeking a strategic and hands-on Senior Manager of Organic Growth to help build and scale the organic acquisition engine for our fast-growing rewarded gaming platform. This…
Added 1 hour ago
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Senior Data Analyst I, Product
Mistplay
Toronto, ON
- Full-time
Au sein du service des données de Mistplay, l'analyste de données sénior I, Produit jouera un rôle crucial dans l'amélioration de la performance commerciale de Mistplay grâce à une analyse…
Added 1 hour ago
TT
Senior Creative Director / Directeur(trice) principal(e) de la création
Transformer Table
Montreal, QC
- Full-time
This is a senior role for someone who combines strong creative instincts with a commercial mindset. You care about how things look and about what drives conversion, retention and brand…
Added 1 hour ago
Principal Data Scientist
Region of Waterloo
Waterloo, ON
…required performance measures, and reports to program areas, senior leadership, and Council, where applicable. Provides support and guidance to staff on data analysis and data visualization…
Added 1 hour ago
Director, Water and Wastewater Infrastructure Management
Region of Waterloo
Kitchener, ON
Provides professional advice to senior management, other engineering-related divisions, the CAO, Regional Chair, and Council.
Added 1 hour ago
LC
Chief Financial Officer
Lakefield College School
Lakefield, ON
- Full-time
Provide senior level leadership and coaching to a team comprised of Director of Finance, Business and Accounting staff and School Stores
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Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 1 hour ago
A
Manager, Product and Industry Marketing
Autodesk
Montreal, QC
- Full-time
Added 1 hour ago
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Portfolio Manager
Ecolab Inc.
Calgary, AB
- Full-time
Proven ability to lead, coach, and develop Technical Program Managers or senior program leaders.
Added 1 hour ago
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Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC
- Full-time
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 1 hour ago
A
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 2 hours ago
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Administrative Assistant, Water
R.V. Anderson Associates Limited
Toronto, ON
- Full-time
Provide support to the Water group and senior management, including preparation of monthly meeting packages, reports and meeting notes.
Added 2 hours ago
GC
Technician, MiningNew
Glencore Canada
Elkford, BC
- $96,000 to $113,000 CAD / year
- Full-time
Reporting to the Senior Engineer Supervisor, Geotech the Mine technician will participate in a variety of tasks, such as: Drone photogrammetric surveys, field layout and interaction with…
Added 2 hours ago
GC
Senior Engineer, MaintenanceNew
Glencore Canada
Elkford, BC
- $123,000 to $145,000 CAD / year
- Full-time
Reporting to the Senior Supervisor, Engineer the Senior Engineer, Maintenance is responsible
Added 2 hours ago
BC
Director, Communications and Engagement – Redevelopment Projects
Brant Community Healthcare System
Brantford, ON
- Full-time
Added 2 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
…the railway signaling domain. Working under the guidance of a Senior Software Analyst or Technical Specialist, the incumbent develops expertise in one or more subsystem functional areas and…
Added 2 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 2 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 2 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 2 hours ago
A
Manager, Product and Industry Marketing
Autodesk
Montreal, QC
- Full-time
Added 2 hours ago
A
Manager, Product and Industry Marketing
Autodesk
Montreal, QC
- Full-time
Added 2 hours ago
HR
Software Analyst
Hitachi Rail
Toronto, ON
- Full-time
…the railway signaling domain. Working under the guidance of a Senior Software Analyst or Technical Specialist, the incumbent develops expertise in one or more subsystem functional areas and…
Added 2 hours ago
A
Senior Machine Learning Operations Developer, Inference, AI/ML Platform
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking a skilled Senior MLOps Developer to join our AI/ML Platform team. This role is…
Added 2 hours ago
CG
Manager, Risk Modelling
Canada Guaranty
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Effectively communicate findings and insights to Executives and senior management in a concise and easy-to-understand way.
Added 3 hours ago
C
Senior .NET Azure Developer
Cognizant
Toronto, ON
- Full-time
As a Senior .NET Azure Developer, you will make an impact by designing and developing end-to-end business applications that integrate AI-driven capabilities with core enterprise workflows.…

Systematix

Senior DevOps Engineer – AI & Data Platform

Canada

Contract

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Job details

Job type: Contract
Experience: Extensive senior-level (10+ years) DevOps engineering experience within complex enterprise environments.
Posting language: English
Posted: Oct 5, 2026

Original job description

We are Systematix and we are currently looking for a Senior DevOps Engineer – AI & Data Platform to help modernize and automate the engineering practices supporting a rapidly growing enterprise AI and Data ecosystem for one of our key clients.

ABOUT THE PROJECT

Our client is a global leader in science and technology, supporting a diverse portfolio of businesses across healthcare, life sciences, diagnostics, manufacturing and industrial innovation. As investment in AI, machine learning and advanced data capabilities continues to accelerate, the organization is modernizing the engineering practices and automation required to support these workloads at enterprise scale.

The primary objective is to eliminate manual infrastructure, build and deployment processes and replace them with automated, repeatable and reliable engineering pipelines. Working closely with Platform Engineering, MLOps and other technical teams, the successful candidate will help establish modern DevOps patterns and standards while remaining highly hands-on in their implementation.

ABOUT THE RESPONSIBILITIES

Design, build and maintain CI/CD pipelines supporting cloud infrastructure, applications and AI/ML workloads.
Provide hands-on operational support for DevOps/platform services, working within established ticketing, incident management and escalation processes to troubleshoot and resolve infrastructure, pipeline and deployment issues.
Implement Infrastructure as Code and automated Azure cloud provisioning.
Create standardized and repeatable Development, UAT and Production deployment patterns.
Automate application and infrastructure testing, validation, deployment and release processes.
Develop reusable engineering tooling, templates and automation components.
Integrate infrastructure and deployment automation with GitHub-based development workflows.
Design and implement GitHub Actions or equivalent CI/CD workflows.
Support containerized applications and workloads using Docker and Kubernetes.
Partner with Platform Engineering teams to automate Azure infrastructure provisioning and deployment.
Partner with MLOps engineers to automate machine learning lifecycle, deployment and operational processes.
Build self-service capabilities that enable development, data science and machine learning teams to deploy and consume technology with minimal manual intervention.
Identify manual engineering processes and replace them with scalable, code-driven automation.
Improve deployment speed, consistency, repeatability, reliability and overall developer experience.
Implement appropriate security, governance and operational controls within automated engineering processes.
Help establish modern SDLC, DevOps, source control, deployment and engineering standards.
Provide technical leadership and recommendations while remaining directly involved in engineering, coding, configuration and implementation.

ABOUT THE REQUIREMENTS

Extensive senior-level (10+ years) DevOps engineering experience within complex enterprise environments.
Strong hands-on experience with Microsoft Azure.
Experience operating within enterprise support models, including ticket queues, incident management, troubleshooting, escalation procedures and coordination across technical support teams.
Demonstrated expertise with Infrastructure as Code and automated cloud provisioning.
Strong experience designing, building and maintaining enterprise CI/CD pipelines.
Hands-on experience with GitHub, GitHub Actions or comparable Git-based CI/CD technologies.
Strong experience with Docker, Kubernetes and containerized workloads.
Advanced scripting and automation capabilities.
Strong understanding of modern SDLC, source control, release management and deployment practices.
Experience developing reusable automation, engineering templates, deployment patterns and tooling.
Experience integrating infrastructure automation with application development and deployment workflows.
Demonstrated experience transforming relatively manual or immature engineering environments into automated, repeatable and code-driven platforms.
Strong troubleshooting and problem-solving capabilities.
Ability to operate effectively as both a senior technical advisor and hands-on engineer.
Strong communication and collaboration skills with the ability to work across DevOps, Platform Engineering, MLOps, cloud, security, data and application engineering teams.

PREFERRED QUALIFICATIONS

Experience supporting infrastructure and deployment processes for AI and machine learning workloads.
Experience with Azure Machine Learning and related Azure AI/data services.
Experience working with MLOps engineering practices and machine learning deployment pipelines.
Experience supporting GPU or accelerated computing environments.
Strong Python development or scripting experience.
Experience with Platform Engineering and internal developer platforms.
Experience creating self-service engineering and deployment capabilities.
Experience working within large, global or federated enterprise environments.
Experience helping establish DevOps capabilities, standards and practices within an immature or evolving engineering environment.

ABOUT THE ROLE

This is a contract opportunity supporting a strategic enterprise AI, Data and Cloud engineering initiative.This is a senior, highly hands-on engineering role. The successful candidate will help define DevOps architecture, standards and engineering patterns while personally building and implementing the pipelines, automation and tooling required to put those standards into practice.

We are looking for an engineer who naturally approaches manual infrastructure and deployment processes as opportunities for automation and who is equally comfortable defining the solution and sitting down to build it.

AI DISCLOSURE

As part of our recruitment process, Systematix may use artificial intelligence (AI) tools to assist with resume screening, candidate matching and recruitment administration. All hiring decisions are ultimately made by our recruitment and hiring teams.

APPLY NOW

If you are interested in finding out more, please contact us or submit your resume to jobs@systematix.com.

Know someone who would be a great fit? We welcome referrals of qualified candidates and are always interested in connecting with talented technology professionals.

ABOUT SYSTEMATIX

Systematix is a Canadian-owned Global Consulting and Resourcing firm with nearly 50 years of experience delivering technology solutions to clients across North America and the United Kingdom. We provide the highest-caliber consulting solutions to a diverse client base across all levels of government and private industry. Systematix is committed to creating a diverse, inclusive environment and is proud to be an equal opportunity employer. At Systematix, we value diverse perspectives, experiences, and backgrounds.

Systematix. Solutions Focused. People Driven.

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More about this job

Responsibilities

Design, build, and maintain automated CI/CD pipelines, Azure infrastructure provisioning, and repeatable deployment patterns for applications and AI/ML workloads. Develop reusable tooling and self-service capabilities, troubleshoot platform and deployment issues, and establish secure DevOps standards in collaboration with Platform Engineering and MLOps teams.

Requirements

Requires 10+ years of senior DevOps experience, strong hands-on Azure, Infrastructure as Code, CI/CD, GitHub-based workflows, Docker, Kubernetes, and advanced scripting and automation skills. Candidates should be experienced in enterprise support and troubleshooting, transforming manual processes into automated platforms, and providing technical leadership while remaining hands-on.

Skills

Azure
DevOps
CI/CD
Infrastructure As Code
GitHub Actions
Docker
Kubernetes
Scripting And Automation
Python
MLOps
Azure Machine Learning
Cloud Provisioning
Pipeline Troubleshooting
Release Management
Platform Engineering
Machine Learning Deployment

Visa sponsorship

Not detected in the job text

Keywords

Azure
Azure Machine Learning
AI
Machine Learning
Data Platform
DevOps
MLOps
CI/CD
Infrastructure As Code
GitHub
GitHub Actions
Docker
Kubernetes
Python
Cloud Provisioning
Automation
Platform Engineering
Internal Developer Platforms
Self-Service Capabilities
Development, UAT, And Production
SDLC
Source Control
Release Management
Deployment Pipelines
Incident Management
Ticketing
GPU Computing
Security Controls
Governance
Enterprise Engineering

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