Site Reliability Engineer

In this role, your responsibilities would include

• Maintain and improve our platform's uptime and availability
• Optimize and maintain our infrastructure to improve reliability, performance, and security
• Proactively identify and resolve scaling and reliability issues before they impact users or business metrics
• Partner with product engineers to troubleshoot performance issues and implement effective solutions
• Configure and maintain monitoring, alerting, and observability systems across our stack
• Assist with incident response, including investigation, mitigation, and postmortems; develop and maintain incident runbooks
• Participate in an on-call rotation shared across the engineering organization
• Support and scale infrastructure for AI/ML systems, including model-serving workloads, data pipelines, and batch/async processing
• Improve observability for AI systems (latency, cost, drift, failures) and help define reliability standards for these workloads

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Required Skills

• Experience in a Site Reliability Engineering or similar role
• Experience working with (writing or deploying) Elixir, or a strong desire to learn
• Experience operating production Kubernetes clusters
• Proficiency building infrastructure with Terraform
• Strong experience with AWS (especially EKS, RDS, and VPC) and Vercel
• Experience working with and optimizing PostgreSQL
• Experience with Datadog or similar observability tools

Preferred Skills

• Experience working in regulated or high-compliance environments
• Experience with CI/CD systems such as GitHub Actions
• Experience supporting SOC 2 or similar certifications
• Experience working with Cloudflare
• Hands-on development experience in one or more programming languages
• Experience supporting AI/ML systems in production (e.g., model serving, vector databases, or data pipelines)