Site Reliability Engineer

Migaru AI builds an AI-native CRM that automatically files emails, calls, and meetings into the right account, contact, and deal records, keeping the pipeline current without manual data entry. We're looking for a Site Reliability Engineer to help us run a reliable, scalable, and secure platform as it processes a growing volume of customer conversations and data in real time.

What you'll do

• Own the reliability, availability, and performance of production systems, including setting and tracking SLOs/SLIs
• Build and maintain monitoring, alerting, and incident response tooling to detect and resolve issues before customers notice
• Lead or support incident response, write blameless postmortems, and drive follow-up fixes to prevent recurrence
• Design and implement infrastructure-as-code, CI/CD pipelines, and deployment automation
• Partner with engineering teams to improve system architecture for scalability, resilience, and cost efficiency
• Plan and run capacity planning, load testing, and disaster recovery exercises

What we're looking for

• Experience operating production infrastructure in a cloud environment (AWS, GCP, or Azure)
• Strong scripting or programming skills (Python, Go, or similar) for automation and tooling
• Hands-on experience with container orchestration (Kubernetes or similar) and infrastructure-as-code (Terraform or similar)
• Solid understanding of networking, Linux systems, and distributed systems fundamentals
• Experience with observability tooling (metrics, logging, tracing) and on-call incident response
• Clear communication skills and comfort working cross-functionally with product and engineering teams

Nice to have

• Experience operating systems that process sensitive customer data, including security and compliance considerations
• Familiarity with database reliability and performance tuning
• Experience supporting a SaaS product through periods of rapid growth