IT & Software

AKS Platform Engineer (1891) $85-95/hr

Direct IT Recruiting Inc.

Toronto · On · Canada

Hybrid | Toronto, ON — 2 days on-site per week


Type: 6-month contract


Rate: $85–95/hr | 7.5 hours/day | 37.5 hours/week


Key Skills: 6+ years as a Platform Engineer, AKS, Azure DevOps, GitHub Actions, Helm, Jenkins, Key Vault, DevSecOps, Terraform, Bicep, ARM


Description


We are seeking a Platform Engineer with strong experience in Azure Kubernetes Service (AKS), Kubernetes platform engineering, and deployment automation to support the implementation of a modern gateway and application platform.


This role will be responsible for deploying, configuring, and optimizing platform components in AKS, and for building the supporting CI/CD pipelines and operational capabilities required for secure, scalable, and repeatable delivery. The ideal candidate will bring hands‑on expertise in Kubernetes, AKS , gateway and traffic management platforms, deployment automation, observability, and DevSecOps practices.


Requirements



  • Strong experience as a Platform Engineer, DevOps Engineer, or Kubernetes‑focused Infrastructure Engineer

  • Proven hands‑on experience with Azure Kubernetes Service (AKS)

  • Strong understanding of Kubernetes platform deployment, configuration, and operational support

  • Experience deploying and managing gateway, ingress, service mesh, API management, or traffic management platforms in Kubernetes environments

  • Experience supporting platforms that manage application or API traffic routing, control, and security

  • Experience building end‑to‑end CI/CD pipelines for deployment, packaging, release automation, and lifecycle management

  • Strong experience with deployment automation using Helm , Kubernetes manifests, templates, or similar tooling

  • Experience with infrastructure as code such as Terraform, Bicep, ARM , or similar technologies

  • Experience integrating security scanning and controls into CI/CD pipelines and deployment workflows

  • Experience implementing logging, monitoring, alerting, and observability for Kubernetes‑based platforms

  • Strong understanding of the infrastructure, networking, and operational components required to deploy and support a platform in AKS

  • Ability to work independently and deliver platform capabilities from initial deployment through production readiness


Responsibilities



  • Deploy and configure platform components in an AKS environment

  • Optimize the platform for reliability, scalability, maintainability, and secure operations

  • Build the full CI/CD pipeline to support packaging, deployment automation, release management, and security scanning

  • Establish repeatable deployment standards and automation for Kubernetes‑based platform components

  • Integrate logging, monitoring, and operational visibility into the platform environment

  • Ensure the platform is configured to support secure and scalable traffic management

  • Support all platform engineering activities associated with deploying and operationalizing the platform in AKS


Ideal Background



  • Experience in cloud platform engineering within Azure environments

  • Strong Kubernetes administration and troubleshooting experience

  • Experience with gateway, ingress, service mesh, or API management technologies

  • Familiarity with modern platform requirements for high‑volume, secure, and scalable traffic management

  • Experience working across platform engineering, security, release engineering, and runtime operations

  • Ability to define and implement a complete deployment and operational model with limited oversight


Preferred Skills



  • Experience with enterprise‑grade gateway or traffic management platforms

  • Experience with Azure DevOps, GitHub Actions, Jenkins , or similar CI/CD tooling

  • Familiarity with Azure Monitor, Log Analytics, Container Registry, Key Vault , or related Azure‑native services

  • Experience embedding DevSecOps practices into platform engineering workflows

  • Strong troubleshooting skills across Kubernetes, networking, deployment pipelines, and observability tooling


Note: As part of our hiring process, we use AI‑based systems to support initial applicant screening.

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Reference: WJ-291_11346919

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