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Added 3 months ago
L
Sr. Staff Physical Design Engineer
Lightmatter
Toronto, ON
- Full-time
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
…including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights &…
Added 2 months ago
Ingénieur DevOps / DevOps Engineer
mthree
Montreal, QC
…l’un de nos clients. L’Ingénieur DevOps intégrera l’équipe Data Protection Dev Squad, qui assure l’intégration des plateformes et outils stratégiques de développement applicatif du client…
Added 2 months ago
M
Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
Authorization Decisioning combines the power of Mastercard's Decision Management Platform with real-time authorization data to enable intelligent decisioning at scale. The team is focused…
Added 2 months ago
H
Application Support & Automation Analyst (Fixed-Term)
Hitachi
Toronto, ON · (RSBU) Toronto
- Full-time
…support and lead automation delivery across multiple enterprise engineering platforms. The role combines hands-on technical work, including Python-based automation, DXL audit scripting,…
Added 2 months ago
Manager, Software Development - Onboarding Team
AlayaCare
Montreal, QC
Use engineering efficiency data to find where the team is stuck - low adoption, wasted effort, oversized changes, review bottlenecks - and act on it in planning and one-on-ones.
Added 1 month ago
Staff Security Engineer
Forma.ai
Toronto, ON
Security today is shared across Engineering and DevOps. You'll work closely with both teams and have real room to shape how Forma approaches security as we grow. Depending on your interests…
Added 2 months ago
W
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
…primary deliverable, this is first and foremost a software engineering role requiring deep expertise in backend architecture and distributed systems. You will be responsible for…
Added 2 months ago
P
Embedded Systems Engineer - Capture Systems
Peripheral
Toronto, ON
- Full-time
Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate spatial data, used for advanced sports analytics and immersive media…
Added 2 months ago
BC
Construction Innovation Systems Analyst
Bird Construction
Mississauga, ON
- Full-time
Post-secondary education in Computer Science, Software Engineering, Data Analytics, Information Systems, Business Technology Management, Engineering, Construction Technology, or a related…
Added 2 months ago
CI
AI Engineering Lead (Permanent)
CoreFactor Inc.
Toronto, ON · Downtown Toronto (Toronto Dominion Centre / Design Exchange), Ontario
- Full-time
Stay at the forefront of academic and industry advancements in AI and data engineering. Drive innovation by prototyping and integrating novel techniques and technologies to maintain a…
Added 3 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Data Proficiency: Advanced knowledge of SQL for BigQuery, Python for ML
Added 3 months ago
TA
Gen AI Engineer
Tiger Analytics
Canada
- Full-time
…skilled AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for…
Added 3 months ago
TH
Sr. Manager, Supply Chain Data, Analytics and Systems, Tim Hortons
Tim Hortons
Toronto, ON
- Full-time
Define and govern supply chain data standards, KPI definitions, and reporting logic to ensure a single source of truth across functions; partner with IT and data engineering to maintain…
Added 1 month ago
Analyst, Business
Aecon
Toronto, ON
Assist with light scripting or coding tasks (e.g., SQL queries, Python for automation support, data preparation).
Added 2 months ago
H(
Sr. Cloud Platform Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
…AI-powered solutions, cloud-native technologies, DevOps/platform engineering tools, and industry best practices to enhance automation, scalability, security, operational efficiency, and…
Added 2 months ago
H(
Sr. Cloud Platform Engineer (Network and Cloud Operations)
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
- $103,000 to $153,000 CAD / year
- Full-time
…AI-powered solutions, cloud-native technologies, DevOps/platform engineering tools, and industry best practices to enhance automation, scalability, security, operational efficiency, and…
Added 2 months ago
CS
Senior DevOps Engineer
Canadian Solar Inc.
Kitchener, ON
- Full-time
…of software products. You will work closely with leadership, engineering and project execution teams to streamline the software development lifecycle and enhance the overall productivity…
Added 2 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
…to be at the cutting edge of machine learning in research, engineering, and impactful…
Added 2 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or any equivalent quantitative degree from a recognized university
Added 2 months ago
JI
Senior MLOps Engineer | Ingénieur·e MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
…and footwear brands with complex, multi-site operations. Our data environment spans ERP and cloud platforms, and our engineering culture is hands-on, pragmatic, and…
Added 2 months ago
M
Manager, Ecommerce Product Analytics
McAfee
Waterloo, ON · UNAVAILABLE, Ontario
- Full-time
McAfee's Product Analytics team partners with product, engineering, and go-to-market functions to drive data-informed decisions across the business. We build the measurement frameworks,…
Added 4 months ago
SD
Software Developer – Back End
Symbiotic Digital
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Contract
of data engineering (ETL/ELT, Azure data services) and observability
Added 1 month ago
M
Senior Software Engineer
Morningstar
Toronto, ON
- Full-time
As a Senior Software Engineer, you will work closely with product owners, engineering teams, and technical leads on our next generation data feed platform. This role is primarily focused on…
Added 2 months ago
AN
Senior/Lead Software Engineer, Network Systems
Arista Networks
Vancouver, BC
- Full-time
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of…

mthree

Ingénieur DevOps / DevOps Engineer

Montreal, QC, Canada

Apply About employer

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Job details

Posting language: English · French
Posted: Aug 11, 2026

Original job description

English section of this bilingual listing.

Want to work in technology at an investment bank?

We are looking for someone to be a part of a dynamic team as a DevOps Engineer for one of our clients. The DevOps Engineer will join the Data Protection Dev Squad, which integrates the client’s strategic application development platforms and tools throughout the software development lifecycle. The position requires hands-on engineering to integrate applications and services, support solutions deployed in public cloud and on-premises data centers, and enhance proactive data governance capabilities in collaboration with Technology teams, business stakeholders, and third-party vendors.

About mthree:

Since 2010, mthree has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organizations worldwide.

Core Services:

Consulting and Advisory
Managed Services
Alumni Graduate Program
Alumni Pro Program

We have a global presence and are experts in delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas.

Our Expert program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join us to work on groundbreaking technology projects, from international trading platforms to critical applications for leading airlines. We recruit professionals who are eager to fast-track their careers in technology or operations within prestigious global organizations.

Responsibilities:

Perform engineering and operational activities supporting data security services, including service delivery, task automation, DevOps activities, and participation in an on-call rota.
Onboard new DevOps tools and maintain existing platforms to address business requirements and ensure effective integration with the Firm’s technology ecosystem.
Collaborate with the Data Discovery Squad and broader Technology stakeholders to enhance services through automation, scripting, and effective observability solutions.
Participate in design and code reviews across the Data Discovery Squad and relevant stakeholder groups.
Contribute actively to the team’s Agile operating model, ceremonies, and delivery practices.
Facilitate knowledge sharing across global Data Protection squads and chapters through clear documentation, presentations, and internal communications.

The position also provides opportunities to:

Broaden technical expertise through challenging engineering initiatives and the application of emerging technologies, including cloud data governance, with access to specialists across the Firm.
Develop a deeper understanding of the financial services industry through engagement with business stakeholders and participation in relevant industry activities and events.
Contribute within an open and inclusive environment in which informed perspectives and meaningful contributions are encouraged. .

Skills Required:

Must have:

Scripting: Python, Linux Shell
DevOps: Git, Jenkins Pipeline, Test Automation
Orchestration: Docker, Kubernetes
OS: Linux (in-depth), Windows
Networking: network configuration and debugging
Cloud: Azure Dev/DevOps, Public Cloud management
Security Practices: Knowledge of critical cyber security controls
AI Software Development Lifecycle (AI SDLC): Working knowledge of the secure and governed use of artificial intelligence across requirements, design, development, testing, deployment, monitoring, and continuous improvement, including appropriate human oversight.

Would Be Nice:

Cloud: M365, AWS, etc.
Orchestration: Ansible, Terraform, Cloudify, other IaC
SRE: Flux, Grafana, Splunk
Agile: Jira
Products: BigID, Securiti

Professional Skills

Demonstrated experience working effectively within Agile delivery teams.
Proven experience integrating products into enterprise environments, including the deployment and integration of open-source products and tools using DevOps methodologies.
Working knowledge of IT Service Management principles and ITIL practices.

At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each individual who contributes to making mthree the company it is today and will be in the future. We value diversity both within mthree and with our partner companies, and we're proud to provide an environment where all our colleagues can flourish. That means promoting a strong culture of equality but, most importantly, inclusion.

Applicants must be currently authorized to work in Canada on a full-time basis. The Company will not sponsor applicants for work visas.

Read the full bilingual original

**English version below**

Doit être local à Montréal

Vous souhaitez travailler dans le domaine de la technologie au sein d'une banque d'investissement?

Nous recherchons une personne souhaitant rejoindre une équipe dynamique en tant qu’Ingénieur DevOps pour l’un de nos clients. L’Ingénieur DevOps intégrera l’équipe Data Protection Dev Squad, qui assure l’intégration des plateformes et outils stratégiques de développement applicatif du client tout au long du cycle de vie du développement logiciel. Ce poste nécessite une expertise pratique en ingénierie afin d’intégrer des applications et des services, de soutenir des solutions déployées dans des environnements de cloud public et dans des centres de données sur site (on-premises), et de renforcer les capacités proactives de gouvernance des données en collaboration avec les équipes technologiques, les parties prenantes métier et les fournisseurs tiers.

À propos de mtrois :

Depuis 2010, mtrois aide ses clients à résoudre leurs défis commerciaux et technologiques. Nous sommes une société de conseil en technologie et en affaires avec une main-d'œuvre mondiale qui réalise des projets commerciaux et informatiques significatifs dans certaines des plus grandes organisations de services financiers du monde.

Services principaux

Consulting et Conseil
Services gérés
Programme de diplômés Alumni
Programme Alumni Pro

Nous avons une présence mondiale et sommes experts dans la fourniture d'une qualité exceptionnelle à notre base de clients, offrant des services de conseil dans les domaines du risque, de la réglementation et de la conformité ; Produits des fournisseurs ; Support d'application ; Développement d'application ; Cyber et sécurité de l'information ; Science des données et DevOps.

Notre programme Expert offre aux professionnels expérimentés l'accès à des rôles de premier plan dans la technologie, la finance, l'aviation et l'assurance. Rejoignez-nous pour travailler sur des projets technologiques révolutionnaires, des plateformes de trading internationales aux applications critiques pour les principales compagnies aériennes. Nous recrutons des professionnels désireux de faire progresser rapidement leur carrière dans la technologie ou les opérations au sein d'organisations mondiales prestigieuses.

Responsabilités :

Effectuer des activités d’ingénierie et d’exploitation en soutien aux services de sécurité des données, y compris la prestation de services, l’automatisation des tâches, les activités DevOps et la participation à un système d’astreinte.
Intégrer de nouveaux outils DevOps et assurer la maintenance des plateformes existantes afin de répondre aux besoins de l’entreprise et de garantir une intégration efficace avec l’écosystème technologique de l’organisation.
Collaborer avec l’équipe Data Discovery Squad et les autres parties prenantes technologiques afin d’améliorer les services grâce à l’automatisation, aux scripts et à des solutions de supervision (observabilité) efficaces.
Participer aux revues de conception et de code au sein de la Data Discovery Squad et des groupes de parties prenantes concernés.
Contribuer activement au modèle de fonctionnement Agile de l’équipe, à ses cérémonies Agile et à ses pratiques de livraison.
Favoriser le partage des connaissances entre les équipes et communautés mondiales de protection des données grâce à une documentation claire, des présentations et des communications internes.

Ce poste offre également l’opportunité de :

Développer votre expertise technique grâce à des initiatives d’ingénierie stimulantes et à l’utilisation de technologies émergentes, notamment dans le domaine de la gouvernance des données dans le cloud, avec l’appui de spécialistes à travers l’organisation.
Acquérir une compréhension approfondie du secteur des services financiers en collaborant avec les parties prenantes métier et en participant à des activités et événements pertinents de l’industrie.
Évoluer dans un environnement ouvert et inclusif où les points de vue éclairés et les contributions significatives sont valorisés et encouragés.

Compétences requises

Indispensables

Scripting : Python, Shell Linux
DevOps : Git, Jenkins Pipeline, automatisation des tests
Orchestration : Docker, Kubernetes
Systèmes d’exploitation : Linux (niveau avancé), Windows
Réseaux : Configuration et dépannage réseau
Cloud : Azure DevOps, gestion des environnements de cloud public
Pratiques de sécurité : Connaissance des contrôles essentiels en cybersécurité
Cycle de développement logiciel de l’IA (AI SDLC) : Connaissance pratique de l’utilisation sécurisée et gouvernée de l’intelligence artificielle dans les phases de collecte des exigences, conception, développement, tests, déploiement, surveillance et amélioration continue, avec une supervision humaine appropriée.

Atouts supplémentaires

Cloud : Microsoft 365, AWS, etc.
Orchestration : Ansible, Terraform, Cloudify et autres outils d’Infrastructure as Code (IaC)
SRE (Site Reliability Engineering) : Flux, Grafana, Splunk
Agile : Jira
Produits : BigID, Securiti

Compétences professionnelles

Expérience démontrée de travail efficace au sein d’équipes de livraison Agile.
Expérience avérée dans l’intégration de produits au sein d’environnements d’entreprise, y compris le déploiement et l’intégration de produits et outils open source à l’aide de méthodologies DevOps.
Connaissance pratique des principes de gestion des services informatiques (IT Service Management) et des bonnes pratiques ITIL.

Chez mtrois, nos valeurs soutiennent des coéquipiers courageux, des moteurs d'aiguilles et des champions de l'apprentissage tout en s'efforçant de soutenir la santé et le bien-être de tous les employés. Nous sommes très fiers de célébrer la diversité de chaque individu qui contribue à faire de mtrois l'entreprise qu'elle est aujourd'hui et sera à l'avenir. Nous valorisons la diversité tant au sein de mtrois qu'avec nos entreprises partenaires, et nous sommes fiers de fournir un environnement où tous nos collègues peuvent s'épanouir. Cela signifie promouvoir une forte culture d'égalité mais, surtout, d'inclusion.

Les candidats doivent être actuellement autorisés à travailler au Canada à temps plein. L'entreprise ne parrainera pas les candidats pour des visas de travail

**English Translation**

**Must be local to Montreal**

Want to work in technology at an investment bank?

About mthree:

Core Services:

Consulting and Advisory
Managed Services
Alumni Graduate Program
Alumni Pro Program

Responsibilities:

Perform engineering and operational activities supporting data security services, including service delivery, task automation, DevOps activities, and participation in an on-call rota.
Onboard new DevOps tools and maintain existing platforms to address business requirements and ensure effective integration with the Firm’s technology ecosystem.
Collaborate with the Data Discovery Squad and broader Technology stakeholders to enhance services through automation, scripting, and effective observability solutions.
Participate in design and code reviews across the Data Discovery Squad and relevant stakeholder groups.
Contribute actively to the team’s Agile operating model, ceremonies, and delivery practices.
Facilitate knowledge sharing across global Data Protection squads and chapters through clear documentation, presentations, and internal communications.

The position also provides opportunities to:

Broaden technical expertise through challenging engineering initiatives and the application of emerging technologies, including cloud data governance, with access to specialists across the Firm.
Develop a deeper understanding of the financial services industry through engagement with business stakeholders and participation in relevant industry activities and events.
Contribute within an open and inclusive environment in which informed perspectives and meaningful contributions are encouraged. .

Skills Required:

Must have:

Scripting: Python, Linux Shell
DevOps: Git, Jenkins Pipeline, Test Automation
Orchestration: Docker, Kubernetes
OS: Linux (in-depth), Windows
Networking: network configuration and debugging
Cloud: Azure Dev/DevOps, Public Cloud management
Security Practices: Knowledge of critical cyber security controls
AI Software Development Lifecycle (AI SDLC): Working knowledge of the secure and governed use of artificial intelligence across requirements, design, development, testing, deployment, monitoring, and continuous improvement, including appropriate human oversight.

Would Be Nice:

Cloud: M365, AWS, etc.
Orchestration: Ansible, Terraform, Cloudify, other IaC
SRE: Flux, Grafana, Splunk
Agile: Jira
Products: BigID, Securiti

Professional Skills

Demonstrated experience working effectively within Agile delivery teams.
Proven experience integrating products into enterprise environments, including the deployment and integration of open-source products and tools using DevOps methodologies.
Working knowledge of IT Service Management principles and ITIL practices.

Applicants must be currently authorized to work in Canada on a full-time basis. The Company will not sponsor applicants for work visas.

Apply About employer

More about this job

Responsibilities

The DevOps Engineer will perform engineering and operational tasks to support data security services, including automation and on-call duties. They will also collaborate with the Data Discovery Squad to integrate new tools and maintain existing platforms within an Agile framework.

Requirements

Candidates must have hands-on experience with Python, Linux, Docker, Kubernetes, and cloud environments like Azure. A strong understanding of CI/CD pipelines, cyber security controls, and Agile methodologies is required for this role.

Skills

Python
Linux Shell
Git
Jenkins Pipeline
Test Automation
Docker
Kubernetes
Linux
Windows
Network configuration
Azure DevOps
Public cloud management
Cyber security controls
AI SDLC
Agile
ITIL

Benefits

Health and well-being support
Inclusive work environment

Visa sponsorship

Not detected in the job text

Keywords

DevOps
Data Protection
Cloud Governance
Investment Banking
Python
Linux
Docker
Kubernetes
Jenkins
Azure
Cybersecurity
AI SDLC
Agile
ITIL
Observability
Infrastructure as Code
Ansible
Terraform
BigID
Securiti
Splunk
Grafana
Data Discovery
Consulting
Financial Services
Automation
Scripting
Networking
On-premises

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