Fireworks AI · 5 months ago
Software Engineer, Site Reliability
New York, NY
Full-time
Onsite
Senior Level
5+ years expFireworks AI is building the future of generative AI infrastructure with a focus on high-quality models and scalable inference. As a Site Reliability Engineer, you will ensure the reliability and performance of their world-scale virtual AI cloud by applying your expertise in distributed systems and operational excellence, while collaborating with software engineers and AI experts.
Artificial Intelligence (AI)Data ManagementSaaSSoftware
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
Fireworks AI
Fireworks AI is an advanced platform that enables users to build, tune, and scale AI applications using open-source models
51-200 employees
H1B Sponsorship
Fireworks AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (3)
2023 (1)
Funding
Current Stage
Growth StageTotal Funding
$327MKey Investors
Sequoia CapitalBenchmark
2025-10-28Series C· $230M
2025-10-28Secondary Market· $20M
2024-07-07Series B· $52M
Leadership Team
Lin Qiao
CEO and cofounder
Aishwarya Srinivasan
Head of AI Developer Relations
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