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Senior Backend Engineer, Inference Cloud

Cerebras· Software Engineering
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Hybrid (Sunnyvale, CA), Hybrid (Toronto, CAN)Full-timePosted 1mo ago

About the role

Senior backend engineer to build and scale the services powering Cerebras Inference Cloud, supporting the Developer Console and backend systems for access, management, and operation of inference workloads.

Responsibilities

  • 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.

Qualifications

  • 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 standards. You care about correctness, maintainability, observability, and long-term system health.
  • Collaboration and influence. You communicate architectural tradeoffs clearly and help other engineers succeed through mentorship and constructive feedback.
  • Experience. Typically 8+ years of industry experience building and operating production software.
  • Education. Bachelor’s or master’s degree in computer science, or equivalent practical experience.
  • Relevant experience includes cloud platforms, developer tools, billing and metering systems, identity and access management, observability, or high-volume data processing. Experience with technologies such as GraphQL, Postgres, and Redis is helpful.

Skills

Required:Backend design and API developmentOwnership and operations of production systemsData modeling and databasesSystem design judgmentCross-functional collaborationIndependent executionExperience level

Benefits

  • N/A
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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