Agent & DevOps Platform Engineer-6
Role Overview
Agent & DevOps Platform Engineer role based in Toronto, with full-time employment and an onsite work model.
The role focuses on enterprise platform engineering, cloud automation, AI agents, and DevSecOps.
Key Skills for This Role
Full Job Posting
Role overview
Agent & DevOps Platform Engineer role based in Toronto, with full-time employment and an onsite work model.
The role focuses on enterprise platform engineering, cloud automation, AI agents, and DevSecOps.
Required skillsets
- 3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments.
- Strong Python for automation, API integrations, infrastructure tooling, agent services, and production scripting.
- Working experience with at least one additional ecosystem such as Java, .NET, Groovy, or Node.js.
- Hands-on AWS production workload design or operations experience.
- AWS IAM knowledge covering roles, policies, trust relationships, cross-account access, least privilege, and service authentication.
- Production container experience with Docker and Kubernetes, Amazon ECS, or Amazon EKS.
- Production or near-production experience building or integrating AI/LLM-based tools or agents.
- LLMOps knowledge covering prompts, tools, agent architectures, evaluation, observability, and reliability.
- Git workflows, build automation, release pipelines, Infrastructure as Code, configuration management, and cloud-native deployments.
- DevSecOps mindset that treats security as a design constraint.
Good-to-have skills
- AWS services such as EKS, ECS, ECR, Lambda, Bedrock, CloudWatch, S3, Secrets Manager, Systems Manager, and VPC.
- Terraform, CloudFormation, or AWS CDK; multi-account AWS and enterprise identity patterns.
- Kubernetes operations, Helm, service accounts, ingress, networking, and workload security.
- AI integration into developer platforms or enterprise tooling; LangChain, LlamaIndex, or custom agent toolchains.
- Enabling DevOps practices across teams or business units; Scrum, Kanban, or SAFe delivery experience.
Role approach
- Build and share working code, pipelines, agents, and reusable platform patterns.
- Think through downstream effects of cloud, identity, container, and automation decisions.
- Define the right problem in ambiguous situations and support technical decisions with evidence.
- Learn quickly, experiment deliberately, and ship when solutions are ready.
- Make secure defaults, clear ownership, and developer experience integral to platform adoption.
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