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Fireworks AI Logo Fireworks AI · IT - Software Development

Software Engineer, Site Reliability

United States, San Mateo · Job Posted December 08, 2025
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Job Description

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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