Member of Technical Staff, Cloud InfrastructureActive$175K–$220K

Fireworks AI
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The opportunity

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed,…

What you'll do

  • Architect and build scalable, resilient, and high-performance backend: infrastructure to support distributed training, inference, and data processing pipelines.

  • Lead technical design discussions, mentor other engineers, and establish best: practices for building and operating large-scale ML infrastructure.

  • Design and implement core backend services (e.g., job schedulers, resource: managers, autoscalers, model serving layers) with a focus on efficiency and low latency.

  • Drive infrastructure optimization initiatives, including compute cost: reduction, storage lifecycle management, and network performance tuning.

  • Collaborate cross-functionally with ML, DevOps, and product teams to: translate research and product needs into robust infrastructure solutions.

  • Continuously evaluate and integrate cloud-native and open-source technologies: (e.g., Kubernetes, Kubeflow, MLFlow) to enhance our platform’s capabilities and reliability.

What they're looking for

  • Own end-to-end systems from design to deployment and observability, with a: strong emphasis on reliability, fault tolerance, and operational excellence.
  • Ensuring System Reliability: Ensure systems are designed and implemented with high availability, scalability, and performance. Focus on fault tolerance, disaster recovery, identifying and removing scaling bottlenecks, and performance optimization across our multi-cloud infrastructure.
  • Observability & Monitoring: Develop, implement, and maintain comprehensive monitoring, alerting, logging, and tracing solutions to provide deep insights into system health and performance
  • Bachelor’s degree in Computer Science, Engineering, or a related technical: field (or equivalent practical experience).