# Senior Backend Engineer, Inference Cloud at Cerebras

Cerebras is hiring a Senior Backend Engineer, Inference Cloud for a remote role open to applicants in United States. Level rates it Little AI ●○○○; you can [apply on Cerebras](https://jobsbylevel.com/go/c06d2dc8-3054-4cd4-a7ce-ae6809c655c6?utm_medium=ai-agent).

AI Level 1, AI centrality 10 out of 100. Remote (Sunnyvale, CA).

## Details

- Company: [Cerebras](https://jobsbylevel.com/companies/cerebras)
- AI level: AI Level 1 (score 10 out of 100)
- Location: Remote (Sunnyvale, CA)
- Posted: September 15, 2026
- Apply: https://jobsbylevel.com/go/c06d2dc8-3054-4cd4-a7ce-ae6809c655c6?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-backend-engineer-inference-cloud-at-cerebras-bb0ae4

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-backend-engineer-inference-cloud-at-cerebras-bb0ae4

## Description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About the Role We’re hiring a senior backend engineer to build and scale the services that power Cerebras Inference Cloud. Your work will support the Developer Console and the broader backend systems that developers and enterprises rely on to access, manage, and operate inference workloads. This is a hands-on role for a backend generalist who enjoys working across services, APIs, databases, and data pipelines. You’ll solve problems spanning usage tracking, billing, quotas, account management, request logs, metrics, and other core cloud capabilities. These systems require careful data modeling, reliable integrations, and thoughtful tradeoffs across correctness, latency, scale, and cost. You’ll join a fast-moving team and take ownership of major platform capabilities, from defining the problem and designing the architecture to shipping and operating the solution. You’ll work closely with frontend, infrastructure, inference, and product teams to deliver reliable services and a cohesive customer experience. What You’ll Do Own critical backend systems. Take end-to-end responsibility for capabilities such as billing, usage metering, quotas, account management, request logs, and metrics. Build services across Inference Cloud. Design and implement APIs, backend services, and data pipelines that support the Developer Console and other cloud systems. Design for correctness and scale. Define service boundaries, data models, and processing patterns, making pragmatic tradeoffs across consistency, real-time and batch processing, performance, and cost. Connect systems reliably. Build integrations between customer-facing workflows, internal services, and infrastructure, with clear contracts and robust handling of failures and retries. Drive projects from idea to production. Turn ambiguous needs into concrete designs, break down the work, and deliver solutions that grow with customer usage. Operate what you build. Improve observability, debugging, testing, and recovery; investigate production issues and address their underlying causes. Lead through technical ownership. Guide design reviews, mentor engineers, and coordinate execution across teams. Partner across engineering and product. Work with frontend engineers and other stakeholders to translate customer needs into dependable backend capabilities. What We’re Looking For Strong backend engineering fundamentals. Experience designing APIs, services, data models, and distributed systems, with a practical understanding of concurrency, consistency, caching, and failure handling. A track record of ownership. You’ve designed, delivered, and operated complex production systems, taking responsibility for their behavior after launch. Breadth and adaptability. You’re comfortable moving between backend domains, learning unfamiliar systems, and choosing the right approach for the problem. Database and data-processing experience. You can design schemas, reason about query performance, and build reliable transactional and asynchronous workflows. Sound technical judgment. You know when a simple solution is sufficient and when scale, correctness, or reliability requires a deeper investment. Independent execution. You bring clarity to ambiguous problems, manage dependencies, and drive work forward. High engineering

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Source: https://jobsbylevel.com/jobs/senior-backend-engineer-inference-cloud-at-cerebras-bb0ae4

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