Staff Engineer, Product Software

Equinix•Toronto, ON

5d•CA$88,000 - CA$132,000•Onsite

About The Position

Works with product teams, analysts, and other engineers to design and build systems and application software that enable a robust, usable API ecosystem. Implements and operates API ecosystem tooling—API specifications (e.g., OpenAPI, OAuth2/OIDC, MCP), SDK and documentation generation workflows, and docs/developer platform engineering (e.g., Docusaurus, Backstage, Confluence) including plugins, upgrades, light theming, and CI/CD. Partners closely with a Senior Staff engineer on architecture and standards, and mentors junior team members through code reviews and shared ownership.

Requirements

Bachelor's in Computer Science or Computer Engineering, or equivalent experience
Experience building and operating production services and/or developer tooling with ownership of reliability and maintainability
Working knowledge of API specifications and auth concepts (e.g., OpenAPI, OAuth2/OIDC); familiarity with MCP is a plus
Proficiency in Go and/or Python for building maintainable tooling, automation, and services
Experience with infrastructure as code and automation-first practices; familiarity with Terraform Providers/Modules is a plus
Working knowledge of CI/CD and Git-based workflows in Linux environments; familiarity with Kubernetes concepts is a plus
Familiarity with gateway/edge and routing patterns (e.g., Apigee, ALB, Kubernetes Ingress, Envoy) and how they influence API usability and onboarding

Nice To Haves

Experience with docs and developer platforms (e.g., Docusaurus, Backstage, Confluence) including plugins, theming, and platform upgrades
Experience integrating with identity/authorization backends (e.g., OAuth/OIDC integrations, token services, RBAC/ABAC patterns)
Experience with SDK generation and/or ecosystem stewardship (release/versioning strategies, compatibility testing)
Demonstrated use of AI agents/skills in engineering workflows with an emphasis on verification and safe operation

Responsibilities

Translates developer and internal stakeholder feedback into actionable requirements for API ecosystem tooling and automation
Performs basic change-impact analysis from specification and platform changes to downstream artifacts (SDKs, IaC integrations, docs generation, examples) and raises risks early
Contributes to defining acceptance criteria and success metrics for ecosystem improvements (validation coverage, reliability, reduced manual steps)
Contributes to architectural reviews by proposing implementation approaches, tradeoffs, and operational considerations
Implements architecture patterns and standards defined by senior technical leadership for API lifecycle governance, generation pipelines, and platform integration
Collaborates with gateway/edge and identity stakeholders to ensure implementations align with routing and security constraints (e.g., Apigee, ALB, Kubernetes Ingress, Envoy)
Designs and delivers features/modules for API ecosystem tooling and platform extensions with attention to maintainability and reuse
Creates or extends plugin and integration patterns for docs and developer platforms (e.g., Docusaurus, Backstage, Confluence) including themes, UI extensions, and build hooks
Produces clear design notes and implementation docs to enable cross-repo contributions and reduce knowledge silos
Understands and analyzes API specifications (e.g., OpenAPI, OAuth2/OIDC, MCP) and applies them in tooling and workflows
Builds and maintains automation and services that generate SDKs and documentation from API specifications
Builds and maintains IaC ecosystem components (e.g., Terraform Providers and Modules) and supporting tooling to ensure reliable integrations
Develops and maintains ecosystem tooling in Go and Python (validators, generators, CI helpers, release utilities)
Integrates gateway/edge and identity requirements into reference implementations (e.g., auth flows, policy hooks, onboarding paths)
Uses AI agents/skills to reduce toil in day-to-day engineering work (e.g., PR validation summaries, impact notes, suggested remediations) with review and verification steps
Implements automated tests and quality gates for ecosystem outputs (SDKs, IaC providers/modules, docs outputs) using contract tests, golden tests, and spec compliance checks
Adds breaking-change detection and compatibility checks to CI pipelines and helps triage failures with clear remediation guidance
Defines deployment and release guidelines for ecosystem tooling and docs/developer platforms (build/test/release, preview environments, artifact publishing)
Defines and executes environment planning and cross-functional dependencies for services and pipelines; contributes to Kubernetes-based operations where applicable
Documents software configuration management practices and educates cross-functional stakeholders on the processes and tools, including CI/CD and release workflows
Applies infrastructure-as-code practices to improve repeatability and reduce manual operational effort
Maintains inventory of key ecosystem services, pipelines, and operational dependencies; keeps runbooks and support docs current
Helps prepare application support documentation and improves operational readiness (dashboards, alerts, basic runbooks)
Troubleshoots application and pipeline issues using knowledgebase documents; escalates complex incidents appropriately and contributes to post-incident fixes
Provides technical guidance to internal teams adopting API standards, SDK/IaC workflows, and docs/developer platform extensions
Partners with product, platform, and security/identity stakeholders to ensure solutions are usable, secure, and maintainable
Provides level of effort (LOE) for features and initiatives; identifies dependencies and integration risks
Works with technical project managers and product management teams to define schedules for multi-repo changes and coordinated releases
Provides progress updates tied to outcomes (pipeline health, validation coverage, time-to-release), and supports release management execution
Investigates, analyzes, and evaluates new technologies relevant to API governance, specification tooling, and automation
Experiments with MCP-based tools and AI-assisted workflows to improve developer experience and engineering efficiency, ensuring outputs remain verifiable and governed