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As a Site Reliability Engineer (SRE) at Fireworks AI, you will play a critical role in making our world-scale virtual AI cloud reliable, performant, and efficient. You will apply your expertise in large-scale distributed systems, cloud infrastructure, and operational excellence. You will partner closely with world-class software engineers and AI experts to scale cutting-edge AI platforms to meet the fast-growing demands and ever-evolving application paradigms. This role is for someone passionate about operating highly robust, observable, and automated systems and enabling customer successes.
Job Responsibility:
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
Incident Management & Response: Lead efforts in incident detection, response, and resolution for critical production issues. Drive post-mortems to identify root causes and implement preventative measures to improve system reliability
Observability & Monitoring: Develop, implement, and maintain comprehensive monitoring, alerting, logging, and tracing solutions to provide deep insights into system health and performance
Automation & Toil Reduction: Identify and automate repetitive operational tasks to reduce toil and improve operational efficiency. Develop tools and scripts to streamline deployments, scaling, and system management
Capacity Planning & Performance Tuning: Work proactively on capacity planning to ensure our infrastructure can gracefully handle growth and peak loads. Optimize system performance and resource utilization
Reliability Best Practices: Collaborate with software engineers to embed reliability principles (e.g., SLOs, SLIs, error budgets) into the development lifecycle, promoting a culture of operational excellence
On-call Rotation: Participate in a periodic on-call rotation to support our production environment and respond to critical alerts
Requirements:
Bachelor's degree in Computer Science, related technical field, or equivalent practical experience
5+ years of experience in Site Reliability Engineering, DevOps, or a similar role focused on large-scale production systems
Deep expertise in SRE principles and practices, including SLOs, SLIs, operational automation, incident management, and post-mortems
Extensive hands-on experience with public cloud platforms (AWS, GCP, Azure), including compute, networking, storage, and database services
Strong experience with containerization technologies (Docker) and orchestration platforms (Kubernetes)
Proficiency in designing and implementing robust monitoring, logging, and alerting systems using tools like Prometheus, Grafana, ELK stack, and distributed tracing
Solid programming/scripting skills in at least one language (e.g., Python, Go) for automation and tool development
In-depth knowledge of Linux operating systems, networking fundamentals, and system debugging
Proven ability to troubleshoot complex issues across the entire stack
Excellent communication, collaboration, and problem-solving skills
Willingness to participate in on-call rotations
Nice to have:
Experience of managing data center grade GPU clusters with GPU (and peripherals like HBM and RDMA enabled networking) monitoring, troubleshooting, and fixing
Experience with machine learning infrastructure, model serving, or distributed AI frameworks
Hands-on experience in security and data protection
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