Backend Engineer, Platform

🔥 1 minute ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Inviso

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2004

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Inviso is a Microsoft Cloud Solution Provider (CSP) that specializes in transformative technology solutions tailored for an AI-driven world. With over 20 years of experience as a proven Microsoft partner, Inviso offers a range of services including data analytics, business process automation, cybersecurity, and data governance. Their mission is to help organizations optimize their use of Microsoft technologies to enhance productivity and secure their operations. Inviso leverages advanced AI technologies and provides expert guidance to drive meaningful organizational transformation, ensuring that clients can thrive in a secure, modern work environment.

📋 Description

• 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 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 • Collaborate in client-facing consulting environments

🎯 Requirements

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

🏖️ Benefits

• Remote work arrangement • Permanent direct-hire employee position • Opportunity to work on a global enterprise AI platform

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