Jobs in Canada

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Added 9 hours ago
OI
Senior Software Engineer
Odaia Intelligence Inc.
Vancouver, BC
- Full-time
We’re looking for a Senior Software Engineer to join our engineering team. You’ll design, build, and ship the products and services that shape how pharma commercial teams engage with…
Added 9 hours ago
T
Site Reliability Engineer II
TD
Toronto, ON
- Full-time
Added 9 hours ago
IF
Senior Data Analyst
iA Financial Group (Industrial Alliance)
Quebec, QC
- Full-time
Holds Microsoft Fabric certifications such as DP-700 (Fabric Data Engineer Associate) or DP-600 (Fabric Analytics Engineer Associate), considered an asset.
Added 9 hours ago
A
Ingénieur Système Embarqué
Actalent
Montreal, QC
- $50 to $60 CAD / hour
- Contract
Le poste se déroule principalement dans un environnement de bureau en cubicule, avec une présence sur site trois jours par semaine
Added 9 hours ago
A
Ingenieur Qualite / Quality Engineer
Actalent
Montreal, QC
- $40 to $55 CAD / hour
- Contract
Le poste implique de travailler à la fois sur site et chez le fournisseur (2 jours par semaine), principalement à Laval
Added 9 hours ago
IF
AI Growth Ops
Ink Foundation
Canada
- Full-time
Experience in QA, testing, operations, support, or analytics, ideally on a software product or complex system
Added 9 hours ago
IF
Senior AI Compute Infrastructure Engineer
Ink Foundation
Canada
- Full-time
Added 9 hours ago
IF
Senior Software Engineer – Agent Systems
Ink Foundation
Canada
- Full-time
Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.)
Added 9 hours ago
IF
Senior Analytics Engineer - Finance
Ink Foundation
Canada
- Full-time
We’re looking for a Senior Analytics Engineer to join Kraken’s Finance Data Eng & Analytics team within Data Platform. You’ll build trusted financial data products, using automation and AI…
Added 9 hours ago
D
Software Engineer in Test
Dexian
Mississauga, ON
- Other
We are seeking a visionary and hands-on Senior Software Development Engineer in Test (SDET)/Quality Engineering Architect to define, champion, and drive the global quality engineering…
Added 10 hours ago
CI
Senior Engineer, Risk, Risk & Total Fund Management Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Senior Software Engineer, you will design, build, test and support technology solutions that enable business capabilities across CPP Investments. In this role, you will specifically…
Added 10 hours ago
W
Spécialiste principal(e) en architecture de données et intelligence artificielle
Wepoint
Montreal, QC
- Full-time
Constituent des atouts : les certifications Microsoft Fabric Analytics Engineer Associate (DP-600) ou Fabric Data Engineer Associate (DP-700), des certifications équivalentes AWS ou Google…
Added 10 hours ago
O
Spécialiste principal(e) en architecture de données et intelligence artificielle
Onepoint
Montreal, QC
- Full-time
Constituent des atouts : les certifications Microsoft Fabric Analytics Engineer Associate (DP-600) ou Fabric Data Engineer Associate (DP-700), des certifications équivalentes AWS ou Google…
Added 10 hours ago
C
Senior Traffic Engineer/Modeller
CIMA+
Toronto, ON · Burlington, Ontario
- $110,480 to $151,910 CAD / year
- Full-time
…what’s expected of us to meet the challenges of tomorrow and engineer a better…
Added 10 hours ago
W
Sr Software Development Engineer (Full Stack) - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Evisort Engineering is growing! As a Fullstack Software Engineer, you’ll join a collaborative, cross-functional team working to enhance and expand our AI-driven contract management…
Added 10 hours ago
Développeur.se - opérations liées à l’apprentissage automatique / MLOps Developer
Electronic Arts
Vancouver, BC
As an MLOps Engineer, you will work closely with researchers to optimize models, help shape the data they need for training, and instrument the system to measure and improve model…
Added 10 hours ago
I
Software QA Engineer II
Infoblox
Burnaby, BC
- Full-time
We are looking for a Software QA Engineer II to join our Universal Asset Insights team, located in Burnaby, BC, reporting to the Manager of Engineering. In this role, you will work on…
Added 10 hours ago
P/
Artificial Intelligence Engineer
PrecisionERP / PrecisionIT
Regina, SK
- Contract
Must be available to work 100% onsite in Regina, Saskatchewan, five days per week
Added 10 hours ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $77 to $83 CAD / hour
- Full-time
e are seeking an AI Data Science Engineer to join a team focused on developing and productionizing advanced AI and machine learning solutions for Commercial Banking and underwriting.
Added 10 hours ago
H
Senior Data Security Engineer
Hays
Toronto, ON
- $120 to $150 CAD / hour
- Contract
Assess and support data masking and tokenization controls for payment-card data, analytics, AI workloads, testing, and non-production environments.
Added 10 hours ago
BS
Ingénieur(e) de données/Data Engineer
Browns Shoes
Montreal, QC
- Full-time
Added 10 hours ago
E
OT Infrastructure Engineer
ENMAX
Calgary, AB · ENMAX Place, Calgary, AB
- Full-time
This role will be part of our hybrid work model that includes Core Days in office (Tuesdays, Wednesday, Thursdays), and more ti
Added 10 hours ago
B
Manager, AI Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
Hybrid with 2-3 days per week onsite
Added 11 hours ago
M
Intermediate DevOps Engineer
MDA
Richmond, BC
- Full-time
Added 11 hours ago
O
Sr. AI Researcher, Agentic Systems
OpenSpace
Canada
- Full-time
The Sr. AI Research Engineer will build agentic systems that reason across the full OpenSpace data record: 360° imagery, point clouds, BIM models, drawing sets, and specifications, plus the…

MDA

Intermediate DevOps Engineer

Richmond, BC, V6V 2J3, Canada

The compensation range for this position is $78,000 - $108,000 annually. · Full-time

Apply on recruiting.ultipro.ca About employer

Applications open in a new tab.

Job details

Pay: The compensation range for this position is $78,000 - $108,000 annually.
Job type: Full-time
Experience: 3+ years of software development experience with at least 2 years focused on MLOps
Posting language: English
Posted: Nov 9, 2026

Original job description

ABOUT MDA SPACE

Building the space between proven and possible, MDA Space is a trusted mission partner to the global space industry. A robotics, satellite systems and geointelligence pioneer with a 55-year+ story of world firsts and more than 450 missions, MDA Space is a global leader in communications satellites, Earth and space observation, and space exploration and infrastructure. The global MDA Space team of more than 4,000+ space experts has the knowledge and know-how to turn an audacious customer vision into an achievable mission – bringing to bear a one-of-a-kind mix of experience, engineering excellence and wide-eyed wonder that’s been in our DNA since day one. For those who dream big and push boundaries on the ground and in the stars to change the world for the better, we’ll take you there. For more information, visit www.mda.space.

The Position

We are looking for a DevOps Specialist with experience with MLOps to bridge the gap between machine learning development and production engineering. In this role, you will design, build, and maintain the infrastructure and tooling that enables our AI and ML Analysts and Engineers to rapidly develop, deploy, monitor, and iterate on machine learning models at scale.

The DevOps Specialist is a core member of the Geointelligence DevSecOps and MLOps team. You will work at the intersection of Software Engineering, DevOps, and Machine Learning – ensuring our AI and ML systems are reliable, reproducible, and efficient. This is a high-impact role that will shape how we deliver AI – powered products to our customers.

Responsibilities:

Platform

Design and evolve a scalable, secure MLOps platform that include model registry, CI / CD / CT, feature store, experiment tracking, and monitoring built on Kubernetes, Terraform for both on premise and cloud (AWS)
Develop reusable infrastructure-as-code modules for data ingestion, model serving, and auto scaling.

Model Lifecycle Management

Implement automated CI / CD pipelines that take model code, data schemas, and container images from development to production with minimal down time
Integrate model versioning with data lineage and meta data tracking

Operational Excellence

Build observability platform for latency, throughput, drift detection, and resource utilization of live models
Develop automated alerts and self healing mechanisms for model anomalies or hardware failures

Collaboration and Enablement

Partner with AI / ML Analysts to translate research notebooks into production ready pipelines, providing tooling, best practice guidance, and code reviews
Collaborate with Corporate IT, Technical Governance, and Platform Products to up-skill teams on MLOps best practices and platform usage.

Security and Compliance

Implement data encryption in transit and at rest, role-based access control, and secure secret management meeting both government and industry standards.
Participate in risk assessments and support audit activities for Geointelligence AI and ML systems.

Continuous Improvement

Evaluate emerging technologies and recommend adoption where they add measurable value
Contribute to open source components and publish internal libraries to foster a reusable ecosystem

Qualifications/ Requirements:

Sc in Computer Science, B.Eng Engineering, Data Science, or related field
3+ years of software development experience with at least 2 years focused on MLOps
Proficiency in Python and at least one compiled language such as C / C++, Go, Rust
Proficiency with Docker containers and Kubernetes
Infrastructure as code (Terraform, Ansible)
CI / CD / CT tooling
Model serving frameworks
Experiment / metadata tracking
Monitoring and Observability
Cloud Platform
Experience with AWS services for compute including EKS, storage, and AI / ML e.g. SageMaker / Bedrock
Excellent communication – the ability to translate technical concepts for non-technical stakeholders
Proactive problem solver, comfortable working in a fast paced, mission critical environment

Comments/Special Considerations:

Successful candidates must obtain and hold security clearance at the reliability status level, and pass security assessment for the Controlled Goods Program (CGP).

We’re a dream team of purpose-driven, collaborative and passionate people, and we are constantly looking for others to join #TeamMDA to ignite new and innovative approaches to problem-solving that push us forward to improve life on and above Earth. If you’re excited to expand our place in space and driven to inspire the next generation, we’ll take you there.

We have entered a new era of exploration and development, and MDA welcomes all who yearn to suit up and be part of it. An equal opportunity employer prizing diversity, integrity and collaboration, we are committed to growing MDA’s and Canada’s leadership in this next golden age.

MDA provides competitive compensation and benefits packages for its employees at all locations. As a team member of MDA, you and your qualified dependents are eligible to participate in a benefit plan that ensures a comprehensive level of protection through competitive health care including; extended healthcare and flexible drug plans, dental and vision benefits, disability income protection, life insurance, group retirement savings plans; and an employee and family assistance program.

MDA is proud to provide accommodation(s) during the recruitment process. Should you require any accommodations, please indicate this on your application/cover letter and we will work with you to meet your accessibility needs.

The compensation range for this position is $78,000 - $108,000 annually. The specific compensation offered will be based on the qualifications and experience of the successful candidate.

#Sp #IND

Apply on recruiting.ultipro.ca About employer

More about this job

Responsibilities

Design and maintain a scalable MLOps platform to enable the development, deployment, and monitoring of machine learning models. Collaborate with AI/ML analysts to translate research into production-ready pipelines while ensuring system reliability and security.

Requirements

Requires a degree in Computer Science, Engineering, or Data Science with at least 3 years of software development experience, including 2 years in MLOps. Proficiency in Python, containerization, and infrastructure-as-code tools is essential.

Skills

DevOps
MLOps
Python
Kubernetes
Terraform
AWS
CI/CD
Docker
Infrastructure as code
Model lifecycle management
Observability
Data lineage
Ansible
C++
Go
Rust

Benefits

Extended healthcare
Flexible drug plans
Dental benefits
Vision benefits
Disability income protection
Life insurance
Employee and family assistance program

Visa sponsorship

Not detected in the job text

Keywords

DevOps
MLOps
Python
Kubernetes
Terraform
AWS
CI/CD
Docker
Infrastructure as code
Model registry
Feature store
Observability
Ansible
C++
Go
Rust
EKS
SageMaker
Bedrock
Geointelligence
DevSecOps
Data lineage
Metadata tracking
Drift detection
Role-based access control
Security clearance
Controlled Goods Program
Software engineering
Machine learning
Cloud computing

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Work requirements

Jobs in Canada