Senior Staff Software Engineer Inference Platform
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Summary
Senior staff engineer leading design and operation of Cerebras' AI inference-platform software: architecting active-active, low-latency distributed systems on Kubernetes, setting technical direction, and driving observability, incident response, and capacity planning. Core stack: Go or C++, Kubernetes, distributed-systems architecture.
You will lead the design, development, testing, and operation of inference-platform software. You will set technical direction, improve active-active system reliability and performance, guide senior engineers, make critical architectural decisions, and drive observability, incident response, capacity planning, and cross-functional alignment.
Responsibilities
- Design, develop, test, and maintain production software
- Raise senior-engineer effectiveness through design feedback, pairing, and technical standards
- Shape platform direction, Kubernetes custom resource definitions, failure domains, service boundaries, and technical roadmaps
- Architect active-active systems with failover, graceful degradation, and service-level objectives
- Improve latency, throughput, capacity efficiency, and resilience
- Write and review code for critical platform paths and make architectural decisions
- Lead production issue resolution, observability, incident response, and capacity planning
- Translate requirements into scalable system designs and align shared technical decisions
Requirements
- 8+ years of software engineering experience
- Large-scale distributed systems or cloud infrastructure
- Distributed-systems architecture
- Kubernetes
- Highly available latency-sensitive systems
- Security
- Certificates
- TLS
- mTLS
- High-QPS system optimization
- Go or C++
- Observability
- Metrics
- Logging
- Tracing
- Alerting
- Incident response
- SLO-driven operations
- Technical communication