Backend Engineer – Platform

🔥 1 minute ago

🇲🇾 Malaysia – 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 and implement reliable, testable, and maintainable backend services • Design APIs and developer experiences for internal and external consumers • Build and maintain multi-tenant systems, tenant isolation, service boundaries, and platform-level enforcement patterns • Build integration frameworks, connector patterns, governed data access, and reliable data on-ramps • Manage operational concerns including retries, partial failure, consistency, idempotency, back-pressure, and failure modes • Support client-facing consulting engagements and collaborate with stakeholders

🎯 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 • 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

• Remote work • Permanent employee position • Direct-hire employment • Opportunity to work on an enterprise AI platform for a global multi-billion dollar software conglomerate

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