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.
