Location: Toronto, ON

Job Type: Full Time

Work Model: Onsite

Required Skillsets 3-5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments

Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting

Working experience with at least one additional language or ecosystem such as Java, .NET, Groovy, or Node.js

Hands-on AWS experience designing or operating production workloads

Practical knowledge of AWS IAM, including roles, policies, trust relationships, cross-account access, least privilege, and service-to-service authentication

Production experience building and deploying containers with Docker and a container platform such as Kubernetes, Amazon ECS, or Amazon EKS

Experience building or integrating AI/LLM-based tools or agents in production or near-production environments

Strong understanding of LLMOps concepts: prompt management, tool use, agent architectures, evaluation, observability, and reliability

Experience with Git-based workflows, build automation, and release pipelines at scale

Hands-on experience with Infrastructure as Code, configuration management, and cloud-native deployments

DevSecOps mindset - security is a design constraint, not a checklist item

Good to Have Skills Experience with AWS services such as EKS, ECS, ECR, Lambda, Bedrock, CloudWatch, S3, Secrets Manager, Systems Manager, and VPC





Experience with Terraform, CloudFormation, or AWS CDK

Experience designing multi-account AWS environments and implementing enterprise identity and access patterns

Familiarity with Kubernetes operations, Helm, service accounts, ingress, networking, and workload security

Experience integrating AI into developer platforms or enterprise tooling, rather than only building standalone applications

Prior work on agentic orchestration frameworks such as LangChain, LlamaIndex, or custom toolchains

Experience enabling DevOps practices across multiple teams or business units

Agile delivery experience using Scrum, Kanban, or SAFe

Roles and Responsibilities You build things and share them - your coaching is your working code, your pipelines, your agents, and your reusable platform patterns

You think in systems: you understand the downstream effects of cloud, identity, container, and automation decisions

You're comfortable in ambiguity and can define the right problem before solving the wrong one

You have strong opinions on automation, reliability, security, IAM, and operational simplicity - and can defend them with evidence

You learn fast, experiment deliberately, and know when to stop experimenting and ship

You understand that secure defaults, explicit ownership, and good developer experience are essential to platform adoption

📌 Agent & DevOps Platform Engineer-6 (Toronto)
🏢 Realign
📍 Toronto