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.

Solid 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.

📌 Agent & DevOps Platform Engineer (Winnipeg)
🏢 PeoplePilot
📍 Winnipeg