Here at Fireworks, we’re building the future of generative AI infrastructure. Fireworks offers the generative AI platform with the highest-quality models and the fastest, most scalable inference. We’ve been independently benchmarked to have the fastest LLM inference and have been getting great traction with innovative research projects, like our own function calling and multi-modal models. Fireworks is funded by top investors, like Benchmark and Sequoia, and we’re an ambitious, fun team composed primarily of veterans from Pytorch and Google Vertex AI.
We’re seeking a highly skilled SRE/PE with deep expertise in Kubernetes (k8s), cloud networking, and infrastructure automation. This role will focus on reducing incident response time, implementing auto-remediation, optimizing auto-scaling, and improving cluster efficiency and service health. You’ll design systems that balance performance, cost, and reliability while working onsite with our Redwood City team.
Incident Response & Reliability Engineering:
Kubernetes & GPU Cluster Optimization:
Cloud Networking & Service Health:
Monitoring & Observability:
Automation & Infrastructure-as-Code (IaC):
3+ years in SRE/PE/DevOps roles with production-grade Kubernetes experience.
Proficiency in cloud networking (AWS/GCP/Azure VPCs, firewalls, DNS) and service monitoring (Prometheus, Alertmanager, Grafana).
Hands-on experience with incident management and improving system reliability/SLOs.
Strong scripting/coding skills (Python/Go/Bash) for automation and tooling.
Familiarity with object storage (S3, GCS) and data pipeline integration.
Experience with GPU clusters (NVIDIA GPUs, MIG, CUDA) and AI/ML workloads.
Knowledge of auto-scaling technologies (K8s HPA/VPA) and auto-remediation frameworks.
Expertise in service meshes (Istio)
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
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