Agent & DevOps Platform Engineer

We are looking for an Agent & DevOps Platform Engineer to join our team in Toronto, ON (Onsite). The ideal candidate will have strong hands‑on experience in AWS, Python, CI/CD, Kubernetes, Docker, Infrastructure as Code, and DevSecOps, along with practical experience building or integrating AI/LLM-based tools and agents. The role involves developing secure, scalable, and reusable cloud-native platforms, automation, pipelines, and AI-powered developer solutions in an enterprise environment.

Key Requirements

• 3–5+ years of experience in DevOps, cloud, CI/CD, or platform engineering.
• Strong Python programming skills for automation, APIs, infrastructure tooling, and scripting.
• Experience with AWS production environments.
• Strong knowledge of AWS IAM, including roles, policies, trust relationships, cross-account access, and least privilege.
• Hands-on experience with Docker and Kubernetes, EKS, or ECS.
• Strong experience with CI/CD, Git workflows, build automation, and release pipelines.
• Experience with Infrastructure as Code, such as Terraform, CloudFormation, or AWS CDK.
• Experience building or integrating AI/LLM tools, agents, or developer platforms.
• Understanding of LLMOps, including prompt management, tool use, agent architecture, evaluation, observability, and reliability.
• Experience with cloud-native deployments and DevSecOps practices.
• Working knowledge of an additional language/ecosystem such as Java, .NET, Groovy, or Node.js.
• Strong problem‑solving, communication, and collaboration skills.

Key Responsibilities

• Design, build, and maintain AWS-based developer and DevOps platforms.
• Develop automation, infrastructure tooling, APIs, and production scripts using Python.
• Build and manage scalable CI/CD pipelines and release automation.
• Deploy and operate containerized applications using Docker and Kubernetes/EKS/ECS.
• Implement secure AWS IAM, authentication, and access‑control patterns.
• Develop and integrate AI/LLM‑based agents and tools into enterprise developer platforms.
• Apply LLMOps practices for agent evaluation, observability, reliability, and tool management.
• Implement Infrastructure as Code and reusable cloud deployment patterns.
• Promote DevSecOps, security‑by‑design, secure defaults, and operational simplicity.
• Create reusable platform patterns and solutions that can be adopted across multiple teams.
• Troubleshoot complex cloud, automation, identity, and platform issues.
• Coach and support engineering teams through reusable code, pipelines, automation, and platform solutions.
• Work effectively in ambiguous environments and turn experimental solutions into reliable production capabilities.