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Infrastructure Developer (Platform Engineering)

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Onsite

Infrastructure Developer (Platform Engineering)

MaintainX

Infrastructure Developer (Platform Engineering)

Skills

Google Cloud PlatformDockerAIAWSGitHubKubernetesTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Canada

Work mode:

Onsite

Published on:

10 September 2026

What they need


  • You’d be joining our Infrastructure team within the Platform Engineering division
  • We’re building an AI-native platform for our internal developers, over 150 of them, guided by a single question: does this shorten the time from idea to value, for the teams building on our platform and for the customers they ultimately serve?
  • The smooth path is the safe, fast path, because the platform makes it the default. We build the route that maximizes AI acceleration
  • Design, build, and evolve our cloud infrastructure (primarily AWS) as code, using Terraform to keep every environment reproducible and legible to both engineers and agents
  • Build CI/CD pipelines (GitHub Actions) with guardrails that make agentic releases safe by default
  • Manage and scale multi-region Kubernetes clusters
  • Maintain and evolve Helm charts and deployment workflows as reusable
  • Strengthen observability, monitoring, logging, and alerting, feeding signal back into AI-assisted remediation and define clear alert ownership
  • Harden infrastructure security, image scanning, policy-as-code, network segmentation, and firewall configuration
  • Partner closely with product engineering teams to support their infrastructure needs
  • Enable developers and agents to deploy and manage services independently
  • Participate in the on-call rotation

Benefits

  • Flexible time off
  • Training and development investments
  • Competitive salary and equity opportunities
  • Comprehensive healthcare coverage- 5+ years of experience in DevOps, cloud infrastructure, or software engineering
  • Strong collaboration skills and the ability to support engineering teams
  • Strong experience with cloud platforms (AWS preferred; Azure or GCP experience transfers well)
  • Expert-level English, spoken and written
  • A strong communicator who can explain platform complexity and trade-offs clearly to stakeholders
  • Experience with Docker and containerized applications
  • Proficient with Kubernetes in production environments
  • AI-forward: you hold everything you build to an AI-native standard
  • Experience with observability tools, including monitoring, logging, and alerting systems
  • Experience building and maintaining CI/CD pipelines and managing deployments

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