Hiring: Member of Technical Staff, Cloud Infrastructure Company: Fireworks AI Location: New York, NY Job Posted Time: 2026-09-11 10:29:35 Target Skills & Keywords : AWS, ArgoCD, Azure, C++, CI/CD, GCP, GitOps, Kubeflow, Kubernetes, MLflow, Machine Learning, PyTorch, Python, SageMaker, TensorFlow, Terraform, Vertex AI About the job Experience: •5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure). Required Skills: •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. •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. Qualifications: •Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). •Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.). •Strong software development skills in languages like Python, or C++. •Comprehensive expertise in distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization. •Master’s or PhD in Computer Science or related field. •Operational familiarity with infrastructure-as-code and CI/CD tooling (e.g., Terraform, ArgoCD, GitOps). •Track record of driving system performance, reliability, and cost-efficiency improvements. •Contributions to open-source cloud or ML infrastructure projects a plus. •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. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!