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Staff API Engineer
Equinix · Toronto, Canada
About The Role
Join our team as a Staff API Engineer, where you will work closely with product teams, analysts, and other engineers to design and build systems and application software that enable a robust API ecosystem. You will implement and operate API ecosystem tooling, partner with a Senior Staff engineer on architecture and standards, and mentor junior team members. Additionally, you will translate developer and internal stakeholder feedback into actionable requirements, contribute to defining acceptance criteria and success metrics, and collaborate with gateway/edge and identity stakeholders.
- Collaborer avec les équipes produit, les analystes et d'autres ingénieurs pour concevoir et construire des systèmes et des logiciels d'application qui permettent un écosystème API robuste et utilisable.
- Mettre en œuvre et exploiter les outils de l'écosystème API, y compris les spécifications API, les flux de génération de SDK et de documentation, et l'ingénierie de la plateforme de documentation/de développement.
- Travailler en étroite collaboration avec un ingénieur senior pour l'architecture et les normes, et encadrer les membres juniors de l'équipe à travers des revues de code et une propriété partagée.
- Bachelor's in Computer Science or Computer Engineering, or equivalent experience
- Working knowledge of CI/CD and Git-based workflows in Linux environments; familiarity with Kubernetes concepts is a plus
- Experience with infrastructure as code and automation-first practices; familiarity with Terraform Providers/Modules is a plus
- Proficiency in Go and/or Python for building maintainable tooling, automation, and services
- Familiarity with gateway/edge and routing patterns (e.g., Apigee, ALB, Kubernetes Ingress, Envoy) and how they influence API usability and onboarding
- Working knowledge of API specifications and auth concepts (e.g., OpenAPI, OAuth2/OIDC); familiarity with MCP is a plus
- Experience building and operating production services and/or developer tooling with ownership of reliability and maintainability
- Demonstrated use of AI agents/skills in engineering workflows with an emphasis on verification and safe operation
- Experience with SDK generation and/or ecosystem stewardship (release/versioning strategies, compatibility testing)
- Experience integrating with identity/authorization backends (e.g., OAuth/OIDC integrations, token services, RBAC/ABAC patterns)
- Experience with docs and developer platforms (e.g., Docusaurus, Backstage, Confluence) including plugins, theming, and platform upgrades
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