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Realign Llc

Agent & DevOps Platform Engineer-6

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Summary

Platform engineer (onsite, Toronto) who builds CI/CD pipelines, AWS infrastructure, and AI/LLM-powered agent tooling for enterprise developer platforms. Day-to-day is Python automation, IAM-hardened cloud workloads, containers (Docker/Kubernetes/ECS), Infrastructure as Code, and LLMOps like prompt management and agent evaluation.

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, clear ownership, and good developer experience are essential to platform adoption

Skills

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See also

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