Backend Engineer – Platform

Inviso

. Design, build, and operate core services powering an enterprise AI platform .

Posted 11/4/2026full-timeRemote • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating backend services, APIs, and multi-tenant systems while ensuring reliability, maintainability, and quality. Proficient in leveraging AI technologies and integration frameworks to deliver impactful solutions in enterprise environments.

Highest-signal resume keywords

Backend Service DevelopmentAPI Design and ImplementationMulti-Tenant System ArchitectureIntegration Frameworks and Data AccessAI Gateway and Orchestration Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#PythonGoAPI DevelopmentEvent-Driven SystemsDistributed SystemsService ReliabilityTesting and DeploymentData Access PatternsOperational Failure Management

Soft Skills

Strong CommunicationCollaboration SkillsPragmatic Mindset

Tools & Technologies

API GatewaysOrchestration SystemsAI-Assisted Development ToolsConnector Frameworks

Industry Keywords

Enterprise AI PlatformTenant IsolationService BoundariesEvent-Sourced MeteringBilling-Related Services

Tech Stack

Tools & technologies

PythonGo

About the role

Key responsibilities & impact

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
Design and implement reliable, testable, and maintainable backend and platform services
Design APIs and developer experiences for internal and external consumers
Build multi-tenant systems with tenant isolation, service boundaries, and platform-level enforcement
Build integration frameworks, connector patterns, governed data access, and reliable data on-ramps
Manage retries, partial failure, consistency, idempotency, back-pressure, and operational failure modes
Monitor and support deployed services
Deliver meaningful value quickly while maintaining engineering quality

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

Remote work arrangement
Permanent employee position
Direct-hire employment
Opportunity to work with a global multi-billion dollar software conglomerate
Client-facing consulting environment