AI & Cloud Computing Analyst

{
  "content_hash": "f5375f1712b89d81cec29e9c870cabaa1301f2a40017f2e8c009c3b398893210",
  "source_hash": "422a6bf63ab6304c58e19ee8d659ee9347ee47d13601c4727166f1dc48d61f1b",
  "last_changed_at": "2026-05-30T06:00:18.321Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Toronto, Ontario, M5H3T9, Canada",
    "city": "Toronto",
    "region": null,
    "country": "Canada",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T10:28:28.570Z",
  "launch_scope": {
    "reason": "bamboohr_production_catalog",
    "included": true,
    "location": {
      "raw": "Toronto, Ontario, M5H3T9, Canada",
      "city": "Toronto",
      "region": null,
      "country": "Canada",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "Canada"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "list_job": {
    "id": "54",
    "isRemote": null,
    "location": {
      "city": "Toronto",
      "state": "Ontario"
    },
    "atsLocation": {
      "city": null,
      "state": null,
      "country": null,
      "province": null
    },
    "departmentId": "18655",
    "locationType": "0",
    "jobOpeningName": "AI & Cloud Computing Analyst",
    "departmentLabel": "Cyber Strategy",
    "employmentStatusLabel": "Full-Time"
  },
  "detail_errors": [],
  "detail_job_opening": {
    "location": {
      "city": "Toronto",
      "state": "Ontario",
      "postalCode": "M5H3T9",
      "addressCountry": "Canada"
    },
    "datePosted": "2026-05-01",
    "atsLocation": {
      "city": null,
      "state": null,
      "country": null,
      "countryId": null
    },
    "description": "<p><span style=\"font-size: 14pt\">About Mjolnir Security</span></p>\n<p>Mjolnir Security is a Canadian MSSP and Digital Forensics &amp; 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.</p>\n<p><br></p>\n<p><span style=\"font-size: 14pt\">The Role</span></p>\n<p>We're looking for an AI &amp; 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.</p>\n<p>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.</p>\n<p><br></p>\n<p><span style=\"font-size: 14pt\">What You'll Do</span></p>\n<ul>\n<li>Support deployment and maintenance of Canadian-resident cloud and on-premise virtualization infrastructure, including server provisioning, VM lifecycle management, and environment hardening</li>\n<li>Assist with Zero Trust network architecture configuration: endpoint agent deployment, access policy management, secure tunneling, and per-device access controls</li>\n<li>Help build, test, and refine AI-powered workflows that integrate large language models into security operations, document processing, and internal automation pipelines</li>\n<li>Support the deployment and operation of self-hosted AI inference environments, including local model serving and retrieval-augmented generation (RAG) pipelines</li>\n<li>Contribute to Python-based tooling: API backend development, automation scripts, data processing pipelines, and third-party integrations</li>\n<li>Assist with Linux system administration for server infrastructure, thin client deployments, and VM templates — including hardening, networking, and remote access configuration</li>\n<li>Support Microsoft Azure and M365 administration including identity management, endpoint management, and cloud resource oversight</li>\n<li>Document infrastructure configurations, deployment runbooks, and architecture decisions to a high standard</li>\n<li>Participate in internal platform testing, debugging, and iterative improvement cycles across a portfolio of proprietary security tools</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 14pt\">What You Bring</span></p>\n<ul>\n<li>3+ years of experience in cloud infrastructure, DevOps, or AI/ML engineering — or a strong academic foundation with demonstrable hands-on project work</li>\n<li>Working knowledge of at least one major cloud platform, with Microsoft Azure preferred</li>\n<li>Comfort with Linux administration: CLI proficiency, service management, SSH, networking fundamentals, and basic system hardening</li>\n<li>Ability to read, write, and debug Python; comfort with REST API patterns and integrations</li>\n<li>Familiarity with AI/LLM concepts: API usage, prompt engineering, or retrieval-augmented generation (RAG) architecture is a strong asset</li>\n<li>Understanding of Zero Trust networking principles and secure remote access design is an advantage</li>\n<li>Microsoft Azure certifications (AZ-900, AZ-104, or AI-102) are valued but not required</li>\n<li>Strong documentation habits — you write things down clearly and precisely so others can follow</li>\n<li>A builder's mindset: you want to understand how systems work at a level deeper than the documentation suggests</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 14pt\">Why Join Us</span></p>\n<ul>\n<li>Work on production AI infrastructure supporting real security operations — not sandbox projects or internal demos</li>\n<li>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</li>\n<li>Direct mentorship from the founder across cloud architecture, AI platform design, and security engineering</li>\n<li>Opportunity to contribute to proprietary platform development across SaaS, internal tooling, and client-facing products</li>\n<li>Competitive compensation, hybrid flexibility, and a technical culture that builds, ships, and iterates continuously</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Location requirement:</span> 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.</p>",
    "compensation": "90,000",
    "departmentId": "18655",
    "locationType": "0",
    "seekPromoted": false,
    "jobCategoryId": null,
    "jobOpeningName": "AI & Cloud Computing Analyst",
    "departmentLabel": "Cyber Strategy",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Experienced",
    "jobOpeningShareUrl": "https://mjolnirsecurity.bamboohr.com/careers/54",
    "employmentStatusLabel": "Full-Time"
  }
}