Senior FE Engineer - Inference Console

Cerebras
Sunnyvale, Toronto
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Architectural judgment","Mentorship","Ability to operate independently","Driving execution","Quality focus"]

Own and scale critical parts of the Developer Console used to run and manage inference workloads. Build frontend systems with Next.js and TypeScript, and design backend services with GraphQL, Postgres, and Redis to support usage tracking, billing, quotas, and observability. Drive architectural decisions across real-time and batch processing, lead 0→1 through production delivery, and improve reliability, visibility, and developer-facing workflows.

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Cerebras
Cerebras
3 days ago

Senior FE Engineer - Inference Console

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Last checked: 7 hours agoStatus: Live

Job Summary

Own and scale critical parts of the Developer Console used to run and manage inference workloads. Build frontend systems with Next.js and TypeScript, and design backend services with GraphQL, Postgres, and Redis to support usage tracking, billing, quotas, and observability. Drive architectural decisions across real-time and batch processing, lead 0→1 through production delivery, and improve reliability, visibility, and developer-facing workflows.
Location: Sunnyvale, Toronto
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own a major platform area end-to-end, including systems like billing, usage tracking, quotas, request logs, or metrics.
  • •Build and evolve core Developer Console systems by designing and implementing APIs, services, and UI that scale with customer usage.
  • •Make architectural decisions across system boundaries, data models, and real-time vs batch processing tradeoffs for performance and cost.
  • •Drive projects from 0→1→scale by defining solutions for ambiguous problems and delivering them to production.
  • •Improve reliability and visibility through observability, debuggability, and production readiness; lead cross-stack execution.

Key Requirements

  • •8+ years of industry experience building and operating production systems.
  • •Strong backend fundamentals in APIs, data modeling, and distributed systems, with experience in high-scale or real-time systems.
  • •Full-stack capability across frontend and backend with pragmatic technical tradeoffs.
  • •Track record of ownership delivering complex end-to-end systems, not just components.
  • •Bachelor’s or master’s in computer science (or equivalent practical experience).
Experience:8+ years
Education:Bachelor's in computer science
Skills:Architectural judgmentMentorshipAbility to operate independentlyDriving executionQuality focus
Tech Stack:Next.jsTypeScriptGraphQLPostgresRedis

Company Brief

Cerebras
Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.
Industry: Hardware Devices
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Sunnyvale, United States
Founded: 2016
WebsiteLinkedIn