Lead Platform Engineer
On-siteToronto, Ontario, Canada
Job Summary
Lead the design and implementation of self-service platform capabilities, including golden paths, internal developer portals, and automated provisioning workflows. Architect intelligent automation systems leveraging AI to optimize CI/CD pipelines, detect anomalies, and auto-remediate incidents. Develop Infrastructure as Code frameworks and maintain distributed workflow orchestration systems in multi-datacenter configurations. Build observability stacks with metrics, logging, and AI-driven alerting while creating technical design documents and facilitating architecture reviews. Mentor team members on platform engineering and AI-assisted development practices. Requires 8-10+ years in Platform Engineering, DevOps, or SRE roles with proficiency in Python, Java, or JavaScript. Full-time position in Toronto, Canada, with a 37.5-hour work week.
Required Qualifications
- 8-10+ years of expertise in Platform Engineering, DevOps, or SRE roles with progressive responsibility
- Proficient developer in at least one common object-oriented language (Python, Java, JavaScript/TypeScript) with strong Bash scripting and emphasis on building reusable platform tooling
- Deep understanding of platform engineering principles including internal developer platforms (IDPs), self-service infrastructure, and golden paths
- Strong AI literacy including context engineering, prompt engineering, context harness design, tool-use patterns (MCP, function calling), and AI agent orchestration
- Experience evaluating and integrating AI-powered developer tools (e.g., GitHub Copilot, Claude, Cursor, Devin, or similar)
- Hands-on experience with platform and automation tools (Terraform, Ansible, Dynatrace, GitHub, Backstage/Port, Elastic, Kibana)
- Deep expertise with GitHub Actions and GitOps methodologies for CI/CD and platform automation
- Advanced Kubernetes and OpenShift experience with enterprise-scale production deployments
- Experience with distributed systems architecture and workflow orchestration platforms such as Camunda
- Extensive experience across cloud environments (Azure, AWS, OCP), Linux/Unix systems, and APIs
- Excellent communication skills with ability to present to technical and executive stakeholders
- Experience leading technical teams and mentoring engineers in platform engineering and AI-augmented practices
Desired Qualifications
- Experience building internal developer portals using Backstage, Port, or custom solutions
- Hands-on experience with AI tooling integration and AI-powered developer productivity solutions
- Knowledge of context engineering methodologies for building AI agent systems, including context injection and multi-agent orchestration
- Experience with progressive delivery techniques (Blue-Green, canary deployments, feature flags)
- Experience developing custom platform tooling, CLI tools, and developer productivity frameworks
- Familiarity with payment systems and financial services technology platforms
- Relevant certifications such as CKA/CKAD, Red Hat OpenShift, or cloud platform certifications
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