Agent & DevOps Platform Engineer-6

Realign Llc; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Realign Llc in Toronto, ON is seeking a Platform Engineer to design, implement, and maintain scalable CI/CD pipelines, cloud infrastructure, and AI-enabled tooling. This onsite role offers the chance to shape production platforms at scale and collaborate across teams.

You will work with Python for automation, AWS, Docker, and Kubernetes, plus IaC and DevSecOps practices to ensure secure, observable systems. Strong multi-account AWS experience is valued.

Qualifications

• 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.
• Hands-on AWS experience designing or operating production workloads.
• Knowledge of AWS IAM roles, policies, cross-account access, least privilege, and service-to-service authentication.
• Experience with Docker and Kubernetes (ECS/EKS) for containerized workloads.
• Experience building or integrating AI/LLM-based tools or agents in production environments.
• Strong understanding of LLMOps: prompts, tool use, agent architectures, observability, and reliability.
• Experience with Git-based workflows, build automation, and release pipelines at scale.
• Experience with Infrastructure as Code and cloud-native deployments.
• DevSecOps mindset: security as a design constraint.

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

CI/CD

Cloud engineering

Python automation

API integrations

Automation scripting

Java

.NET

Groovy

Node.js

AWS

Kubernetes

Docker

LLMOps

Prompt management

Tool integration

IAM

IaC

DevSecOps

Git workflows

Release pipelines

Tools

Terraform

CloudFormation

AWS CDK

Kubernetes

Helm

LangChain

LlamaIndex

Custom toolchains

Job description

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