AI & Cloud Computing Analyst

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.