IT & Software

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

Direct IT Recruiting Inc.

Toronto · Ontario · 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-4703_9492115

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