Platform Engineer
Canada
Full Time
2 hours ago
$83,000 - $102,000 CAD
No Sponsorship
Key skills
AWSCloudDockerDynamoDBEC2KubernetesLinuxPythonTerraformGoGolangAIClaudeLangChainAgenticAutoGenECSCloudFormationRDSRoute53IAMGitHubCI/CDProduct Management
About this role
Role Overview
- 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
Tech Stack
- AWS
- Cloud
- Docker
- DynamoDB
- EC2
- Kubernetes
- Linux
- Python
- Terraform
- Go
Benefits
- Work in a collaborative environment with strong ambitions and goals
- Help evolve the company
- Global environment in an expanding team
- Hybrid work model