11 meilleures offres (endpoint systems support analyst, toronto, on) (à pourvoir)

AI & Cloud Computing Analyst
Mjolnir Security —Toronto, ON
- 90 000 $ par an
- Temps plein
- Azure
- DevOps
- APIs
- Indemnité de déménagement
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Security Monitoring and Response Specialist
CGI —Toronto, ON
- De 60 000 $ à 110 000 $ par an
- Temps plein
- Azure
- Informatique
- Esprit d'analyse
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il y a 5 jours
Information Security Analyst
Vretta Inc. —Toronto, ON
- Temps plein
Senior Data QA Analyst
TMX Group Limited —Toronto, ON
- De 100 000 $ à 120 000 $ par an
- Temps plein
- Travail hybride
- SQL
- AWS
- Recrutement
Threat Hunting & Detection Content Analyst
CGI —Toronto, ON
- De 60 000 $ à 110 000 $ par an
- Temps plein
- Informatique
- Ingénierie
- Anglais
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Threat Hunting and Incident Handling Senior Associate
Pwc Canada —Toronto, ON
- De 84 700 $ à 134 700 $ par an
- Temps plein
- Travail hybride
- Intelligence artificielle
- Analytique
Information Security Operations Analyst (Toronto, Canada)
Starling —Toronto, ON
- Temps plein
- Travail hybride
- Java
- AWS
- Réseaux informatiques
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Senior Security Analyst - Cyber Security - Regular Full-Time - 2026-17134
Sunnybrook Health Sciences Centre —Toronto, ON
- Temps plein
- Oracle
- Ingénierie
- Windows
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GenAI & Python Specialist - Operate
Deloitte —Toronto, ON
- De 72 000 $ à 125 000 $ par an
- Temporaire
- Travail hybride
- Recrutement
- APIs
- Intelligence artificielle
Clinical Data Scientist
Sanofi —Toronto, ON
- De 108 900 $ à 157 300 $ par an
- Doctorat
- Maîtrise
- Bases de données
Senior Staff Applied ML Engineer
Kaseya Careers —Toronto, ON
- De 360 000 $ à 380 000 $ par an
- Analyse de données
- SQL
- Apprentissage automatique

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Endpoint Systems Support Analyst
Tangerine Bank —Toronto, ON
Assess vendors and develop test strategies for new hardware and software, maintaining compliance where appropriate. Drives Tangerine’s business systems.
Senior Endpoint Analyst (Intune)
Black & McDonald Limited —Markham, ON
Education: Bachelor's degree in computer science, information technology, or a related field. Act as the escalation point for complex or high impact endpoint…
De 80 000 $ à 120 000 $ par an
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AI & Cloud Computing Analyst

Mjolnir Security -
Toronto, ON

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Détails du poste

Temps plein
90 000 $ par an

Profil recherché

Infrastructure infonuagique
Azure
Droit
DevOps
Réponse aux incidents
REST
APIs
SSH
Linux
Intelligence artificielle
Python
Débogage

Description complète du poste

About Mjolnir Security

Mjolnir Security is a Canadian MSSP and Digital Forensics & Incident Response (DFIR) firm operating at the intersection of security and advanced technology. We design, build, and operate proprietary AI-augmented platforms that power security operations, threat intelligence, forensic workflows, and infrastructure automation for enterprise clients across regulated industries. Canadian data residency is a non-negotiable design principle across everything we build and operate.

The Role

We're looking for an AI & Cloud Computing Analyst who is technically curious, cloud-literate, and genuinely excited about applying modern AI to real security and operational problems. You'll support the design, deployment, and maintenance of cloud infrastructure, AI-integrated workflows, and Zero Trust network architecture — working directly with the senior leadership team on both internal platform development and client-facing cloud engagements.

This is a hands-on, high-exposure role in a small firm. You'll work across the full stack — infrastructure, automation, AI integration, and documentation — and be expected to grow fast.

What You'll Do

Support deployment and maintenance of Canadian-resident cloud and on-premise virtualization infrastructure, including server provisioning, VM lifecycle management, and environment hardening
Assist with Zero Trust network architecture configuration: endpoint agent deployment, access policy management, secure tunneling, and per-device access controls
Help build, test, and refine AI-powered workflows that integrate large language models into security operations, document processing, and internal automation pipelines
Support the deployment and operation of self-hosted AI inference environments, including local model serving and retrieval-augmented generation (RAG) pipelines
Contribute to Python-based tooling: API backend development, automation scripts, data processing pipelines, and third-party integrations
Assist with Linux system administration for server infrastructure, thin client deployments, and VM templates — including hardening, networking, and remote access configuration
Support Microsoft Azure and M365 administration including identity management, endpoint management, and cloud resource oversight
Document infrastructure configurations, deployment runbooks, and architecture decisions to a high standard
Participate in internal platform testing, debugging, and iterative improvement cycles across a portfolio of proprietary security tools

What You Bring

3+ years of experience in cloud infrastructure, DevOps, or AI/ML engineering — or a strong academic foundation with demonstrable hands-on project work
Working knowledge of at least one major cloud platform, with Microsoft Azure preferred
Comfort with Linux administration: CLI proficiency, service management, SSH, networking fundamentals, and basic system hardening
Ability to read, write, and debug Python; comfort with REST API patterns and integrations
Familiarity with AI/LLM concepts: API usage, prompt engineering, or retrieval-augmented generation (RAG) architecture is a strong asset
Understanding of Zero Trust networking principles and secure remote access design is an advantage
Microsoft Azure certifications (AZ-900, AZ-104, or AI-102) are valued but not required
Strong documentation habits — you write things down clearly and precisely so others can follow
A builder's mindset: you want to understand how systems work at a level deeper than the documentation suggests

Why Join Us

Work on production AI infrastructure supporting real security operations — not sandbox projects or internal demos
Exposure to a technically sophisticated stack spanning Zero Trust, self-hosted AI, DFIR tooling, and enterprise cloud — without being siloed into a single product area
Direct mentorship from the founder across cloud architecture, AI platform design, and security engineering
Opportunity to contribute to proprietary platform development across SaaS, internal tooling, and client-facing products
Competitive compensation, hybrid flexibility, and a technical culture that builds, ships, and iterates continuously

Location requirement: Candidates must reside in the Greater Toronto Area. This onsite role requires in-person availability at our office up to four days per week. Relocation assistance and travel reimbursement are not available for this position.

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endpoint systems support analyst emplois - toronto, on

AI & Cloud Computing Analyst

Security Monitoring and Response Specialist

Information Security Analyst

Senior Data QA Analyst

Threat Hunting & Detection Content Analyst

Threat Hunting and Incident Handling Senior Associate

Information Security Operations Analyst (Toronto, Canada)

Senior Security Analyst - Cyber Security - Regular Full-Time - 2026-17134

GenAI & Python Specialist - Operate

Clinical Data Scientist

Senior Staff Applied ML Engineer

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : endpoint systems support analyst (toronto, on)

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