Nest Veterinary - Senior Engineer, Production Support
Requirements
• We are looking for someone who meets the minimum requirements for this role. If you meet them, we encourage you to apply. Preferred qualifications are a bonus, not a requirement. • You have triaged and resolved production incidents in a SaaS environment. • You read backend logs and API errors comfortably and can trace an issue through a client application. • You know your way around the application data models and are proficient in SQL. • You write Python for automation and reporting. • You have built or configured monitoring and dashboards. • You explain technical problems clearly to non-technical customers. • You are available for escalation coverage during US business hours. • Experience with GCP, Datadog, or Sentry. • Experience setting up ticket tagging and reporting in Zendesk, Linear, or similar. • Experience in healthcare or another regulated industry. • How we work • How we work • Nest is a small, fully remote team. Each person owns outcomes the company depends on, and the scope of most roles grows as the company does. We write decisions down, give direct feedback, and expect problems to be raised early. The work is demanding because hospitals and pet owners rely on it every day, and it suits people who want more ownership than a larger company would offer. • Our hiring process • Our hiring process • Our process typically includes a conversation with the hiring manager, a working session based on the actual job, and conversations with the people you would work with most. We will tell you what each stage covers before it starts, and we close the loop with everyone we interview. • Equal opportunity • Equal opportunity
Responsibilities
• When something breaks in production, a front desk team may be unable to enroll a client or a pet owner's payment may fail. You will be the first technical responder for those issues, and you will build the system that catches them before a hospital has to report them: monitoring, a clear ticket taxonomy, runbooks, and response targets agreed with Hospital Success. After a year, recurring issues will be fixed at the source, the team will know from data where the platform is weakest, and hospitals will see faster and more predictable resolution. • Serve as the primary responder for customer-impacting issues across the clinic app, backend services, and legacy integrations. • Use AI-assisted tools to trace a reported symptom through the API layer to its source. • Build and maintain monitoring and alerting using tools such as Datadog, Sentry, and GCP. • Write Python scripts and small tools that automate detection and repeated diagnostic work. • Define the ticket taxonomy and report on volume, resolution time, and recurring categories. • Set response and resolution SLAs with Hospital Success and maintain runbooks for common issues. • Bring recurring failure patterns to engineering with the data needed to prioritize a permanent fix. • Explain technical issues clearly to clinic staff and internal teams.
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