Senior Backend Architect, Inference Cloud

Fdetimes; Sunnyvale (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Cerebras Systems in Sunnyvale is seeking a senior backend engineer to build and scale the services powering Cerebras Inference Cloud. You will own backend capabilities across billing, quotas, logs, and metrics, collaborating with frontend, infrastructure, and product teams to deliver reliable, scalable cloud services.

The role requires hands-on work across APIs, databases, and data pipelines, with a focus on correctness, latency, and cost, while guiding junior engineers and shaping platform

Qualifications

• 8+ years of production software experience.
• Strong API design and distributed systems expertise.
• Experience with data modeling, databases, and data pipelines.
• Ability to own end-to-end backend platforms.
• Bachelor's or master's in CS or equivalent.

Responsibilities

• Own critical backend systems including billing, usage metering, quotas and metrics.
• Design APIs and data pipelines for Inference Cloud.
• Ensure correctness, scale, and cost considerations.
• Build reliable integrations between customer workflows and internal services.
• Drive projects from idea to production and maintenance.
• Improve observability, debugging, testing, and recovery.
• Lead design reviews and mentor engineers.
• Collaborate with frontend and product teams to translate needs.

Skills

Backend engineering

APIs

Distributed systems

Data modeling

PostgreSQL

Redis

GraphQL

Observability

Mentorship

Cloud platforms

Education

Bachelor's or master's in CS

Tools

Docker

Job description

Cerebras Systems in Sunnyvale is seeking a senior backend engineer to build and scale the services powering Cerebras Inference Cloud. You will own backend capabilities across billing, quotas, logs, and metrics, collaborating with frontend, infrastructure, and product teams to deliver reliable, scalable cloud services.

The role requires hands-on work across APIs, databases, and data pipelines, with a focus on correctness, latency, and cost, while guiding junior engineers and shaping platform