AI Security & DevOps Engineer
Jobgether · Canada, CA
Checked against lever — still accepting applications.
- Location
- Canada, CA
- Type
- Full-time
- Posted
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Security & DevOps Engineer based in Canada.
This role is responsible for defining how AI systems move securely from prototype to production across a broad portfolio of client engagements. You will combine application security, DevOps, cloud infrastructure, identity, and AI-specific security expertise to establish practical production standards. The position has significant ownership over threat modeling, secure engineering practices, CI/CD controls, and agent security. You will also work directly with enterprise security teams to translate requirements into technical solutions and approval-ready evidence. With clients often operating in regulated environments and Microsoft-focused technology stacks, the role requires strong judgment around risk, scale, and production readiness. You will help shape engineering standards while remaining deeply hands-on with the systems and platforms being secured.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a AI Security & DevOps Engineer based in Canada.
This role is responsible for defining how AI systems move securely from prototype to production across a broad portfolio of client engagements. You will combine application security, DevOps, cloud infrastructure, identity, and AI-specific security expertise to establish practical production standards. The position has significant ownership over threat modeling, secure engineering practices, CI/CD controls, and agent security. You will also work directly with enterprise security teams to translate requirements into technical solutions and approval-ready evidence. With clients often operating in regulated environments and Microsoft-focused technology stacks, the role requires strong judgment around risk, scale, and production readiness. You will help shape engineering standards while remaining deeply hands-on with the systems and platforms being secured.
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