Backend / Platform Engineer - Canada

Inviso; Canada; Remote; CAD 120,000 - 180,000; Full time

Job summary

Inviso client is seeking an experienced Backend / Platform Engineer to design, build, and operate core services powering an enterprise AI platform. You will own services end-to-end, focusing on distributed systems, platform APIs, and reliable data access patterns.

The role emphasizes building scalable, multi-tenant backend services, API gateways, and integration frameworks, with a strong collaboration mindset for client-facing environments. Remote, direct-hire permanent employment.

Qualifications

• Experience building and operating production backend, API, or distributed platform services.
• Design of reliable, testable, maintainable services.
• Experience with AI gateway, orchestration, entitlements, tenancy, metering, quotas, or similar platform capabilities.
• Design APIs and developer experiences for internal and external consumers.
• Experience with multi-tenant systems and platform-level enforcement patterns.
• Experience building integration frameworks, connector patterns, or reliable data on-ramps.
• Strong understanding of retries, partial failure, consistency, idempotency, back-pressure, and operational failure modes.
• Experience owning services end-to-end from design to support.
• Strong communication and collaboration skills for client-facing environments.
• Pragmatic mindset to ship value quickly while keeping quality.

Responsibilities

• Design, build, and operate core services powering an enterprise AI platform.
• Contribute to AI gateway, orchestration layer, entitlements, tenancy, and data access patterns.
• Develop APIs and platform services used by product teams and customers.
• Own services end-to-end: from design through testing, deployment, monitoring, and support.

Skills

Backend development

API design

Distributed systems

Testing & reliability

Deployment & monitoring

Client-facing consulting

Cross-team collaboration

C#

Python

Go

Job description

Backend / Platform Engineer

Inviso is partnering with one of our clients to find an experienced Backend / Platform Engineer to join their team working remotely. Inviso is managing the recruitment and placement process for this opportunity. This is a remote, direct-hire permanent employee position for our client that is a global multi-billion dollar software conglomerate.

Backend / Platform Engineer

Inviso is partnering with one of our clients to find an experienced Backend / Platform Engineer to join their team working remotely. Inviso is managing the recruitment and placement process for this opportunity. This is a remote, direct-hire permanent employee position for our client that is a global multi-billion dollar software conglomerate.

The Backend / Platform Engineer is responsible for designing, building, and operating the core services that power an enterprise AI platform. This role contributes to the AI gateway, orchestration layer, entitlements, tenancy model, data access patterns, integration frameworks, APIs, and platform services that product teams and customers depend on.

The Engineer owns services end to end, from design and implementation through testing, deployment, reliability, and support. The ideal candidate is a strong backend engineer who understands distributed systems, failure modes, clean boundaries, platform APIs, and pragmatic trade-offs.

Experience & Skills Required

• Experience building and operating production backend, API, or distributed platform services.
• Strong software engineering skills with experience designing reliable, testable, and maintainable services.
• Experience with AI gateway, orchestration, entitlements, tenancy, metering, quotas, or similar platform capabilities.
• Ability to design APIs and developer experiences for internal and external consumers.
• Experience with multi-tenant systems, tenant isolation, service boundaries, and platform-level enforcement patterns.
• Experience building integration frameworks, connector patterns, governed data access, or reliable data on-ramps.
• Strong understanding of retries, partial failure, consistency, idempotency, back-pressure, and operational failure modes.
• Experience owning services through design, development, testing, deployment, monitoring, and support.
• Strong communication and collaboration skills for client-facing consulting environments.
• Pragmatic mindset with the ability to ship meaningful value quickly while maintaining engineering quality.

Desired Qualifications

• Experience with C#, Python, Go, or similar backend languages.
• Experience with API gateways, orchestration systems, connector frameworks, event-driven systems, or platform engineering.
• Experience with AI, LLM, RAG, agentic workflows, tool/function calling, MCP, A2A, or AI development lifecycle practices.
• Experience with event-sourced metering, quotas, entitlements, or billing-related platform services.
• Experience building enterprise-scale software used by multiple products, customers, or internal teams.
• Experience using AI-assisted development tools while maintaining strong review, testing, and architecture discipline.