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About the role

  • Platform Engineer developing secure and reliable cloud technology solutions for a global retail network. Collaborating with various engineering teams to optimize supply chains and enhance deployment automation.

Responsibilities

  • Design, implement, and maintain secure, highly available, and cost-efficient container orchestration platforms, including Kubernetes and ECS.
  • Develop and optimize Continuous Integration and Continuous Delivery (CI/CD) pipelines to streamline and enhance deployment processes, enabling high efficiency for Product Engineering teams.
  • Build and refine tools and patterns for monitoring and observability to strengthen failure detection, response, and recovery capabilities.
  • Collaborate with Technology Engineering, Development, and Product Management teams to scale, improve, and support production systems and services.
  • Partner with service teams to provide comprehensive documentation, knowledge sharing, architecture planning, capacity assessments, and recommendations for future optimizations.
  • Engineer solutions aimed at failure prevention and minimizing the likelihood of system issues.
  • Write clean, maintainable code, develop thorough test plans, and assess code quality while providing constructive feedback during code reviews.
  • Design and operationalize AI agent infrastructure: Deploy and manage orchestration frameworks (e.g., LangChain, AutoGen) on enterprise platform infrastructure to automate complex, multi-step workflows—including self-healing pipelines, infrastructure drift detection, and automated on-call triage running on Kubernetes.
  • Integrate AI coding assistants into platform engineering: Evaluate, configure, and govern AI-powered development tools (e.g., GitHub Copilot, Claude) to ensure secure, seamless integration within CI/CD pipelines, code review processes, and Infrastructure-as-Code (IaC) toolchains like Terraform and CloudFormation.

Requirements

  • Minimum of 2 years experience in a Platform Engineer or similar role
  • Proficiency in Python and/or Golang with a strong software engineering mindset
  • Experience managing and administering Linux systems
  • Experience with Docker and Kubernetes
  • Experience with AWS (EC2, RDS, Dynamo DB, Route53, Elastic Load Balancers, AMIs, IAM Roles, Ops Works, and Cloud Formation)
  • Knowledge of or experience building CI/CD pipelines
  • Experience with infrastructure as code concepts such as immutable and scalable infrastructure
  • Solid understanding of networking systems as well as identity and authorization mechanisms
  • Experience with using AI coding tools (GitHub, Copilot, Claude) to help Platform Engineering workflows
  • Understanding of Agentic AI and MCP Servers

Benefits

  • Work in a collaborative environment with strong ambitions and goals
  • Help evolve the company
  • Global environment in an expanding team
  • Hybrid work model

Job type

Full Time

Experience level

JuniorMid level

Salary

CA$83,000 - CA$102,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSCloudDockerDynamoDBEC2KubernetesLinuxPythonTerraformGo

Location requirements

HybridTorontoCanada

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