mjolnirsecurity

mjolnirsecurity

AI & Cloud Computing Analyst

Toronto, Ontario

Sponsorship not specifiedDetected 20 days ago
PythonBackend DevelopmentFull-Stack DevelopmentAzureCloud PlatformsLinuxDevOpsRESTMachine LearningLLMsRAGCybersecuritySOC OperationsIncident ResponseZero TrustLeadershipMentoring

About 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.
  • 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.

Responsibilities

  • Support deployment and maintenance of Canadian-resident cloud and on-premise virtualization infrastructure, including server provisioning, VM lifecycle management, and environment hardening
  • 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
  • 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
  • Direct mentorship from the founder across cloud architecture, AI platform design, and security engineering

Requirements

  • 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
  • Microsoft Azure certifications (AZ-900, AZ-104, or AI-102) are valued but not required
  • CLI proficiency, service management, SSH, networking fundamentals, and basic system hardening

Nice to have

  • API backend development, automation scripts, data processing pipelines, and third-party integrations
  • Participate in internal platform testing, debugging, and iterative improvement cycles across a portfolio of proprietary security tools
  • 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

Skills

  • About Mjolnir Security
  • you want to understand how systems work at a level deeper than the documentation suggests
  • Work on production AI infrastructure supporting real security operations - not sandbox projects or internal demos
  • Opportunity to contribute to proprietary platform development across SaaS, internal tooling, and client-facing products

Compensation

  • Competitive compensation, hybrid flexibility, and a technical culture that builds, ships, and iterates continuously

Benefits

  • Relocation assistance and travel reimbursement are not available for this position.
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