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Added 23 hours ago
Junior Cyber Incident Response Analyst
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1 - 2 years of experience in a security analyst, SOC analyst, incident response analyst, security engineer, or system administrator or similar role
Added 23 hours ago
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Junior Cyber Incident Response Analyst
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- Full-time
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Added 23 hours ago
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TMC Canada

DevOps Engineer

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English · French
Posted: Oct 28, 2026

Original job description

English section of this bilingual listing.

About the Role

What will you be doing?

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.

What we’re looking for

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.
Willing to work in on-call rotation

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.
Ability to acquire and apply knowledge of proprietary technologies within a complex, regulated environment.
A self-directed approach, supported by demonstrable experience in the technical and application support of enterprise systems.
Excellent written and verbal communication skills, together with a professional and collaborative working style.
A strong automation and orchestration mindset, with a focus on reducing manual processes and enabling product squads to devote greater capacity to engineering activities.

Attributes

A strong professional interest in automation, DevOps, and site reliability engineering.
Comfort working within delivery models that use frequent, incremental code testing and deployment.
A practical, hands-on approach to implementing DevOps processes from requirements analysis and test design through automation and results analysis.
Accountability for the quality and timeliness of assigned deliverables.
The ability to communicate material issues, risks, and progress updates accurately, clearly, and in a timely manner.

__________________________________________

À propos du rôle

Que ferez-vous?

Read the full bilingual original

About the Role

What will you be doing?

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.

What we’re looking for

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.
Willing to work in on-call rotation

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.
Ability to acquire and apply knowledge of proprietary technologies within a complex, regulated environment.
A self-directed approach, supported by demonstrable experience in the technical and application support of enterprise systems.
Excellent written and verbal communication skills, together with a professional and collaborative working style.
A strong automation and orchestration mindset, with a focus on reducing manual processes and enabling product squads to devote greater capacity to engineering activities.

Attributes

A strong professional interest in automation, DevOps, and site reliability engineering.
Comfort working within delivery models that use frequent, incremental code testing and deployment.
A practical, hands-on approach to implementing DevOps processes from requirements analysis and test design through automation and results analysis.
Accountability for the quality and timeliness of assigned deliverables.
The ability to communicate material issues, risks, and progress updates accurately, clearly, and in a timely manner.

__________________________________________

À propos du rôle

Que ferez-vous?

Réaliser des activités d’ingénierie et d’exploitation à l’appui des services de sécurité des données, notamment la prestation de services, l’automatisation de tâches, les activités DevOps et la participation à une rotation d’astreinte.
Intégrer de nouveaux outils DevOps et maintenir les plateformes existantes afin de répondre aux besoins d’affaires et d’assurer une intégration efficace à l’écosystème technologique de la Firme.
Collaborer avec le Data Discovery Squad et les autres parties prenantes technologiques afin d’améliorer les services grâce à l’automatisation, au scripting et à des solutions d’observabilité efficaces.
Participer aux revues de conception et de code au sein du Data Discovery Squad et des groupes de parties prenantes concernés.
Contribuer activement au modèle opérationnel Agile de l’équipe, à ses cérémonies et à ses pratiques de livraison.
Faciliter le partage des connaissances entre les équipes (squads) et les communautés de pratique (chapters) mondiales de la protection des données, au moyen de documentation, de présentations et de communications internes claires.

Le poste offre également l’occasion de :

Élargir votre expertise technique grâce à des initiatives d’ingénierie stimulantes et à l’application de technologies émergentes, notamment la gouvernance des données dans le nuage, avec accès à des spécialistes de toute la Firme.
Approfondir votre compréhension du secteur des services financiers en collaborant avec les parties prenantes d’affaires et en participant à des activités et événements de l’industrie.
Contribuer dans un environnement ouvert et inclusif où les points de vue éclairés et les contributions significatives sont encouragés.

Ce que nous recherchons

Exigences essentielles :

Scripting : Python, Linux Shell
DevOps : Git, Jenkins Pipeline, automatisation des tests
Orchestration : Docker, Kubernetes
Systèmes d’exploitation : Linux (connaissance approfondie), Windows
Réseautique : configuration et débogage de réseaux
Nuage : Azure Dev/DevOps, gestion du nuage public
Pratiques de sécurité : connaissance des contrôles de cybersécurité critiques
Cycle de vie du développement logiciel avec IA (AI SDLC) : connaissance pratique de l’utilisation sécuritaire et encadrée de l’intelligence artificielle aux étapes des exigences, de la conception, du développement, des tests, du déploiement, de la surveillance et de l’amélioration continue, y compris une supervision humaine appropriée.
Disposition à participer à une rotation d’astreinte

Atouts :

Nuage : M365, AWS, etc.
Orchestration : Ansible, Terraform, Cloudify, autres outils d’infrastructure as code (IaC)
SRE : Flux, Grafana, Splunk
Agile : Jira
Produits : BigID, Securiti

Compétences professionnelles

Expérience démontrée de travail efficace au sein d’équipes de livraison Agile.
Expérience avérée de l’intégration de produits dans des environnements d’entreprise, y compris le déploiement et l’intégration de produits et d’outils open source selon des méthodologies DevOps.
Connaissance pratique des principes de gestion des services TI et des pratiques ITIL.
Capacité d’acquérir et d’appliquer des connaissances sur des technologies propriétaires dans un environnement complexe et réglementé.
Une approche autonome, appuyée par une expérience démontrable du soutien technique et applicatif de systèmes d’entreprise.
Excellentes habiletés de communication écrite et verbale, ainsi qu’un style de travail professionnel et collaboratif.
Une forte mentalité d’automatisation et d’orchestration, axée sur la réduction des processus manuels et sur la possibilité, pour les équipes produit, de consacrer plus de capacité aux activités d’ingénierie.

Qualités recherchées

Un vif intérêt professionnel pour l’automatisation, le DevOps et l’ingénierie de la fiabilité des sites (SRE).
Aisance à travailler dans des modèles de livraison fondés sur des tests et des déploiements de code fréquents et progressifs.
Une approche pratique et concrète de la mise en œuvre des processus DevOps, de l’analyse des exigences et de la conception des tests jusqu’à l’automatisation et à l’analyse des résultats.
Responsabilité à l’égard de la qualité et du respect des échéanciers des livrables assignés.
Capacité à communiquer de façon exacte, claire et rapide les enjeux importants, les risques et l’avancement des travaux.

Apply About employer

More about this job

Responsibilities

Support data security services through engineering, operations, task automation, DevOps activities, and participation in an on-call rotation. Integrate and maintain DevOps platforms, improve observability and automation, participate in design and code reviews, and share knowledge across data protection teams.

Requirements

Requires hands-on experience with Python, Linux shell, Git, Jenkins pipelines, test automation, Docker, Kubernetes, Linux and Windows systems, networking, Azure DevOps, public cloud management, and critical cybersecurity controls. Candidates should have experience in Agile enterprise delivery and product integration, a strong automation mindset, effective communication skills, and working knowledge of secure and governed AI development practices.

Skills

Python
Linux Shell
Git
Jenkins Pipeline
Test Automation
Docker
Kubernetes
Linux
Windows
Network Configuration and Debugging
Azure DevOps
Public Cloud Management
Cybersecurity Controls
AI Software Development Lifecycle
Automation and Orchestration
Agile Delivery

Visa sponsorship

Not detected in the job text

Keywords

Python
Linux Shell
Git
Jenkins Pipeline
Test Automation
Docker
Kubernetes
Linux
Windows
Network Configuration
Network Debugging
Azure DevOps
Public Cloud Management
Cybersecurity Controls
AI Software Development Lifecycle
Human Oversight
Ansible
Terraform
Cloudify
Infrastructure as Code
Flux
Grafana
Splunk
Jira
BigID
Securiti
Agile
ITIL
Site Reliability Engineering
Data Governance

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