Staff Engineer, Inference Platform & Kubernetes

Fdetimes

Sunnyvale (CA)

In loco

USD 210.000 - 270.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Cerebras Systems is seeking a Staff Engineer to lead and contribute to the Inference Platform on the datacenter-scale cluster orchestration layer. You will work across Kubernetes operators, security policies, CI/CD, and platform evolution to deliver scalable, reliable AI inference.

You will shape technical direction, own major roadmap areas, and drive architectural decisions for high-availability systems with low latency and strong observability across global deployments.

Competenze

  • 8+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.
  • Deep expertise in distributed systems architecture, ideally with Kubernetes.
  • Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale.
  • Experience with security (certificates, TLS, mTLS).
  • Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus.
  • Strong proficiency in backend or systems languages such as Go or C++, with the expectation that you can contribute production code directly.
  • Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLO-driven operations.
  • Ability to influence senior engineers and cross-functional partners through technical credibility, communication, and judgment, especially within your domain and adjacent systems.
  • Preferred Skills & Qualifications
  • Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads.

Mansioni

  • Design, develop, test, and maintain production software, with responsibilities spanning testing, continuous development, observability, security, networking, debugging, and productionization.
  • Raise the effectiveness of senior engineers through design feedback, pairing, and clear technical standards.
  • Platform Direction. Help shape the technical direction for the Inference Platform, Kubernetes CRDs, failure domains, service boundaries, and system evolution over time, and own the roadmap for major technical areas.
  • Reliability & Performance. Architect active-active systems with rapid failover, graceful degradation, and clear SLOs. Improve latency, throughput, capacity, and resilience.
  • Execution on Critical Paths. Write and review production code in key platform areas; make high-consequence architectural decisions.
  • Production Leadership. Lead on hard production issues and bottlenecks; drive observability, incident response, and post-incident improvements.
  • Technical Influence. Partner with ML, Product, Infrastructure, and Cloud teams to translate requirements into scalable designs.

Conoscenze

Distributed systems
Kubernetes
Backend development
System architecture
Security (TLS, mTLS)
Low-latency optimization
Go
C++
Observability

Strumenti

Kubernetes
Go
C++
TLS/mTLS

Descrizione del lavoro

Cerebras Systems is seeking a Staff Engineer to lead and contribute to the Inference Platform on the datacenter-scale cluster orchestration layer. You will work across Kubernetes operators, security policies, CI/CD, and platform evolution to deliver scalable, reliable AI inference.

You will shape technical direction, own major roadmap areas, and drive architectural decisions for high-availability systems with low latency and strong observability across global deployments.

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