Site Reliability Engineer

About the Company

Adaptyv is building an automated lab that lets AI agents run biology experiments. We are building the infrastructure that gives AI agents access to the physical world, powering a deep software + hardware stack that orchestrates complex workflows and processes physical-world data.

Responsibilities

• Build observability across the stack using metrics, logs, traces, and dashboards (Grafana)
• Define and instrument SLOs for critical services and set up intelligent alerting
• Harden data and processing pipelines to prevent data corruption or stalled experiments
• Own incident response, including triage, mitigation, and blameless postmortems
• Improve deploy safety and rollback capabilities across services (Vercel, Supabase, Modal)
• Automate manual recovery steps and runbooks to reduce toil
• Partner with software and lab-automation teams to integrate reliability into the system design

Requirements

• Strong systems and software engineering skills with production code experience in Python and/or TypeScript
• Proven SRE or production ownership experience managing dependable services and on-call rotations
• Fluency in observability tools such as Grafana, Prometheus, or Loki
• Strong incident response instincts and root cause analysis skills
• Automation-first mindset with experience using coding agents
• Pragmatic approach to reliability and system design

Preferred Qualifications

• Experience with hardware, lab automation, IoT, or large-scale cloud infrastructure
• Interest in biology and the intersection of AI and wet lab experimentation