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Added 6 days ago
PC
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC Canada
Ottawa, ON
- Full-time
As a Senior Associate – Cyber Security Forward Deployed you are a multi-faceted technologist. You lean heavily into using AI, are comfortable working in a client’s environment, writing…
Added 6 days ago
AI
AWS DATA ENGINNER
Apptoza Inc.
Toronto, ON
- Contract
As a senior technical leader, you will collaborate with architecture, analytics, and business teams to define long-term data strategy, establish engineering best practices, and support…
Added 6 days ago
G
Senior AI Engineer
Guidepoint
Toronto, ON
- Full-time
You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad…
Added 6 days ago
Q(
MONTREAL [HYBRID] - Storage Administrator
QUANTEAM (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a Senior Storage Administrator to work with one of our clients, an international financial institution based in Montreal.
Added 6 days ago
S
Senior Data Engineer, NimbleRx
Swoop
Toronto, ON
- Temporary
As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 6 days ago
Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON · FCP
…AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy…
Added 6 days ago
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Senior Manager, Data & AI
BDO
Vancouver, BC
- Full-time
BDO Digital’s Vancouver office is looking for a Senior Manager to join our Data & AI Consulting Practice team and own the following responsibilities:
Added 6 days ago
S
Senior DevOps Engineer – AI & Data Platform
Systematix
Canada
- Contract
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…
Added 6 days ago
K
Senior AI Software Engineer, Agentic Systems & Data Fabric
Kinaxis
Ottawa, ON
- Full-time
…agentic AI safely reason about and act on enterprise data. As a Senior AI Software Engineer on the Data Fabric team, you will design and implement execution patterns, tool-calling…
Added 6 days ago
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Senior Platform Engineer, AI & Fabrics
BMO
Toronto, ON
- Part-time
…AI safe, governed, and scalable. We are seeking experienced Senior Engineers to help build and operate the core infrastructure that governs how AI runs at BMO: the AI Gateway, Policy…
Added 6 days ago
F
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
- Full-time
…delivering core customer-facing capabilities. We are seeking a Senior Staff Backend Engineer to join our application teams and help set technical direction across multiple domains within…
Added 6 days ago
Senior Specialist, Software Engineering (CI/CD & Automation Engineering)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join the Business Solutions Engineering team, in the Senior Specialist, Software Engineering (CI/CD & Automation Engineering) position, where you’ll work closely with the Platform…
Added 6 days ago
Developer Advocate
Asana
Vancouver, BC
Proven track record as a Developer Advocate, Developer Relations Engineer, or Senior Software Engineer with substantial experience building developer community programs.
Added 6 days ago
Senior AI Engineer
Guidepoint
Toronto, ON
You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad…
Added 6 days ago
AI
Senior AWS Data Engineer - 10+yrs
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior AWS Data Engineer with 10- 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be…
Added 6 days ago
ED
Senior Quality Engineer/Lead - EN 323
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $96,557 to $128,743 CAD / year
- Full-time
Senior Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experience plus a performance-based incentive of 15%
Added 6 days ago
A
Senior AI Platform Engineer (MLOps)
Akkodis
Toronto, ON
- Contract
Akkodis is partnering with a leading institutional investment and pension organization to engage an experienced Senior AI Platform Engineer (MLOps) to support the ongoing growth and…
Added 6 days ago
Senior Analytics Engineer
Aviva
Markham, ON
Proficiency in Python and SQL, with experience working with complex data models.
Added 6 days ago
S
AI Workflow & Operations Intern
Semtech
Richmond, BC
- Full-time
…embedded within Sales Operations. You will work directly with the Senior Director of Global Sales Operations to design, test, and document AI-enabled workflows that improve efficiency,…
Added 6 days ago
SA
Senior Data Engineer, NimbleRx
Swoop Airlines and Aviation
Toronto, ON
- $195,000 to $228,000 CAD / year
As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance…
Added 6 days ago
CL
Senior Okta Engineer (IAM)
Charger Logistics Inc.
Brampton, ON
- Full-time
Senior Okta Engineer (IAM) - Non-Human & AI Agent Identity
Added 6 days ago
ED
Senior Quality Engineer/Lead - EN 323
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Senior Software Engineer 18: Salaries typically range from $96,557 to $128,743 annually, based on qualifications and experience plus a performance-based incentive of 15%
Added 6 days ago
Staff Information Security Engineer - Threat Detection & Response
Visier Solutions Inc
Vancouver, BC
This senior technical IC role owns Visier’s threat detection and response capabilities end-to-end - driving the overarching strategy, tooling engineering, detection content, and incident…
Added 6 days ago
E
AI Engineer
enableIT
Toronto, ON
- Contract
We are seeking experienced Senior AI Engineers to join a leading enterprise technology team and build reliable, production-ready AI agents and LLM-powered applications.
Added 6 days ago
Senior Okta Engineer (IAM)
Charger Logistics Inc
Brampton, ON
Senior Okta Engineer (IAM) – Non-Human & AI Agent Identity

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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