Backend Engineer – Platform

Inviso

Backend/platform engineer designing and operating core services for Inviso’s enterprise AI platform clients. Owning APIs, orchestration, tenancy, integrations, reliability, and support.

Posted 9/2/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, building, and operating production backend services and APIs for enterprise AI platforms, with a strong focus on reliability, maintainability, and client collaboration. Proficient in multi-tenant systems and integration frameworks, ensuring high-quality software delivery and operational excellence.

Highest-signal resume keywords

Production Backend ServicesAPI DesignMulti-Tenant SystemsIntegration FrameworksC#, Python, Go

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringService DesignTesting and DeploymentOperational MonitoringAI GatewayOrchestration SystemsEvent-Driven SystemsData Access PatternsIdempotencyEvent-Sourced Metering

Soft Skills

CommunicationCollaborationPragmatic Mindset

Tools & Technologies

API GatewaysConnector FrameworksAI-Assisted Development Tools

Industry Keywords

Enterprise AI PlatformTenant IsolationService BoundariesOperational Failure ModesAI Development Lifecycle

Tech Stack

Tools & technologies

GoPython

About the role

Key responsibilities & impact

Support an external software development organization as part of Inviso’s delivery team
Work closely with client product, engineering, data, and platform stakeholders
Design, build, and operate core services powering an enterprise AI platform
Contribute to the AI gateway, orchestration layer, entitlements, tenancy model, data access patterns, integration frameworks, APIs, and platform services
Own services end to end from design and implementation through testing, deployment, reliability, and support
Monitor and support production services
Travel occasionally due to client needs

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Annual $2,000 training allowance
Paid time off
Paid holidays
Other benefits