Senior Site Reliability Engineer

What you'll do

• Own reliability across hosting, provisioning, network, and compute, targeting 99.99% uptime
• Proactively maintain infrastructure, track drift, and lead migrations before they become incidents
• Respond to production issues quickly, communicate clearly, and fix root causes for lasting improvements
• Design and implement core infrastructure components that scale significantly
• Make build-vs-buy decisions and evolve systems as business needs shift
• Manage infrastructure as code across different providers
• Improve developer experience by building shared tooling such as internal CLIs, shared libraries, and automation scripts in Go or Python
• Partner with development teams to help them ship faster without creating technical debt
• Support ML infrastructure for frequent model retraining on large datasets
• Improve compute efficiency and model serving performance to meet inference latency targets
• Build, scale, and operate the real-time streaming platform
• Enforce best practices around permissions, secret handling, and network security
• Support SOC2 compliance work and embed security into new projects from day one
• Balance risk trade-offs pragmatically to ensure protection without paralysis

Requirements

• Hands-on experience operating production infrastructure at meaningful scale, with strong instincts around reliability, resilience, and performance under load
• Strong experience with infrastructure as code, especially Terraform, with ownership of the full lifecycle from implementation to continuous improvement
• Fluency in at least one systems-oriented language, ideally Go or Python, with the ability to build automation and operational tooling
• Deep experience with CI/CD, observability, and production operations, including metrics, logs, traces, alerting, and debugging live systems
• Comfortable leading incident response, improving service reliability, and driving root cause resolution
• Able to support product and engineering teams as a trusted infrastructure partner
• Uses AI effectively in day-to-day engineering, with strong judgment about when it adds leverage and when deeper manual work and critical thinking matter more

Tech stack

Benefits