Senior Backend Cloud Developer II, Developer Experience
New
All positions, unless otherwise specified, can be performed remotely (within Canada) regardless of any specified location above.Full-TimeSenior
Salary171,500 - 201,000 CAD per year
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Job Details
- Experience
- 5+ years in software or platform engineering, with at least 2 years in infrastructure- or tooling-focused roles.
- Required Skills
- AWSPythonJavaKubernetesGoCI/CDTerraform
Requirements
- 5+ years in software or platform engineering, with at least 2 years in infrastructure- or tooling-focused roles.
- Strong experience with Kubernetes (EKS preferred), Helm, and GitOps workflows (ArgoCD).
- Proficiency designing and operating CI/CD pipelines (GitHub Actions, Harness, CodeFresh, or similar).
- Hands-on experience with infrastructure-as-code (Terraform, Atmos).
- Solid understanding of AWS services, networking, IAM, and distributed system patterns.
- Strong programming skills in Go, Python, or Java, with demonstrated ability to ship production-grade internal tooling.
- Fluent AI-native engineer: uses Claude Code, Copilot, or similar agents daily; has built or deployed at least one AI-powered automation in a production context.
- Proven ability to drive cross-team platform initiatives and communicate technical tradeoffs to non-technical stakeholders.
Responsibilities
- Design and implement CI/CD pipeline infrastructure using GitHub Actions, Argo Rollouts, or similar tools, optimizing for developer velocity and reliability.
- Build and maintain internal developer tooling, SDKs, and self-service platform capabilities on top of Kubernetes (EKS) and GitOps workflows (ArgoCD).
- Own infrastructure-as-code (Terraform/Atmos) for shared developer platform resources across multiple AWS accounts.
- Work with developers and operations engineers to define clear, helpful guidelines for rolling production changes out safely.
- Track metrics on organization tools like Cortex to validate that our changes are having the intended effect.
- Mentor junior and mid-level engineers on cloud-native development, platform patterns, and AI engineering practices.
- Contribute to incident response and postmortem processes, including building AI-driven tooling for detection, triage, and prevention.
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