Senior Backend Engineer

Atlas Cloudai — Malaysia · Posted ~3 hours ago

Senior

Skills

Backend engineering Production systems Billing systems Metering Subscriptions API gateway Rate limiting Reliability engineering

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Summary ✨ AI‑Generated

Join a rapidly growing backend engineering team building the financial and operational foundation of a large-scale AI platform. You will work on billing, usage metering, subscriptions, API gateway controls, rate limiting, and reliability systems, with substantial ownership over production infrastructure and systems that need to scale globally.

Highlights

Opportunity to work on rapidly scaling AI infrastructure with high ownership, production billing and operational systems, and globally oriented engineering challenges.

Description

Who We Are Atlas Cloud is a rapidly growing AI infrastructure and platform company that helps developers and enterprises build, deploy, and scale AI applications. Our platform provides unified access to advanced AI models and GPU-powered infrastructure through flexible, usage-based pricing. As customer adoption and transaction volumes grow, we are building the financial and operational foundation needed to support a scalable, data-driven, and globally competitive business. About the Team We are the backend team behind AtlasCloud's MaaS (Model as a Service) platform — the infrastructure that lets developers and enterprises integrate, manage, and scale AI model access through a unified API. Our surface area spans billing, metering, subscriptions, gateway rate-limiting, and the reliability systems that keep everything humming at scale. The team is growing fast. We're looking for a senior backend engineer who thrives in high-ownership environments, has shipped production billing or payments systems, and gets excited about the intersection of AI infrastructure and developer-facing products. What You’ll Build Design and own core platform modules: billing, metering, invoicing, and reconciliation pipelines that process millions of API calls per dayBuild the marketing and monetization stack: credit top-ups, coupon systems, promotional campaigns, and subscription product logicEvolve the AI gateway layer: usage metering, async billing, quota enforcement, and rate-limit infrastructureDrive architectural improvements for high-concurrency and strong-consistency scenarios across the billing critical pathCollaborate with Product, Frontend, and ML teams to translate business requirements into robust, scalable technical designsImprove observability, performance, and maintainability of existing systems — and raise the bar for the whole team Qualifications Experience with AI/LLM infrastructure: model gateways, token metering, inference scheduling, or building on top of model APIsKubernetes operator/controller development0→1 design of a billing system or marketing platformPerformance optimization or reliability engineering track record (p99 latency, SLO ownership)Open-source contributions or technical writingRemote Work Experience for an international company and working a hybrid schedule supporting multiple geographies Preferred Qualifications We're especially interested in candidates who have worked closely with: AI-native or generative AI companiesAI application and model companiesCloud or GPU infrastructureCompute-intensive technology companiesAPI or developer-focused productsSaaS and technology startupsEngineering, ML/AI, or technical leadership teams A Note to Recruiting Agencies AtlasCloud is managing this search directly and is not seeking external recruiting or staffing support for this position.Please do not submit unsolicited candidates or contact our team regarding recruiting services for this role. We appreciate your understanding.