Senior Site Reliability Engineer, Hyperbolic

• Expert in site reliability engineering with proven experience defining, monitoring, and maintaining SLOs and SLAs for production systems
• Strong background in capacity planning and management, including forecasting, resource allocation, and cost optimization for distributed systems
• Experienced in incident response, on-call rotations, and post-mortem processes with a track record of reducing MTTR and improving system resilience
• Deep knowledge of deployment systems including progressive rollouts, canary deployments, feature flags, and automated rollback mechanisms
• Proficient in observability tools and practices including metrics, logging, tracing, and alerting systems (Prometheus, Grafana, ELK stack, or similar)
• Strong understanding of infrastructure security including tenant isolation, workload isolation, network segmentation, and security hardening
• Experience with secrets management, key management systems (KMS), certificate management, and secure credential rotation
• Knowledge of compliance frameworks and security best practices for cloud platforms (SOC 2, ISO 27001, or similar)
• Excellent problem-solving skills with ability to debug complex distributed systems issues under pressure
• Strong automation mindset with experience using infrastructure-as-code, configuration management, and CI/CD pipelines

Desirable

• We're seeking a Site Reliability Engineer to ensure Hyperbolic's GPU marketplace and AI infrastructure operate with exceptional reliability, performance, and security
• As an aggregator of compute resources from hundreds of global suppliers, our SLOs, trust, and economic efficiency are product-critical
• You'll be responsible for defining and maintaining service level objectives for job success rates, building robust incident response systems, managing capacity across our distributed GPU network, and implementing secure rollout and rollback mechanisms that keep our platform running smoothly 24/7
• In this role, you'll establish the reliability standards that define customer trust in our platform, design monitoring and alerting systems that provide deep visibility into our infrastructure, build automation for capacity management and resource allocation, lead incident response and post-mortem processes, and work closely with engineering teams to improve system resilience
• You'll also focus on security and infrastructure hardening, ensuring strong isolation between tenants and suppliers, implementing key management systems, and building compliance frameworks
• This is a high-impact position where your work directly influences our ability to deliver on our promise of affordable, accessible AI compute at scale