🛠 Tech Stack

💼 About This Role

You'll automate for insight and scale, building systems that make troubleshooting fast and safe across thousands of Neo4j instances. You'll treat operations as a software problem, replacing tribal knowledge with codified practices. This role focuses on embedding SRE principles at the heart of product development and automating reliability across a global DBaaS platform.

🎯 What You'll Do

• Build automation for troubleshooting and safe rollouts.
• Design and improve incident response tooling and processes.
• Help teams define and act on SLIs and SLOs.
• Shape observability stack for early issue detection.

📋 Requirements

• Proficiency in Go for backend tools and automation.
• Experience applying SRE practices like defining SLIs/SLOs.
• Expertise in troubleshooting large-scale cloud-based systems.
• Experience with Kubernetes deployment and management.

✨ Nice to Have

• Cluster-level Kubernetes administration.
• Experience with Kustomize and Terraform.
• Familiarity with observability tools like Prometheus and Grafana.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💰 Competitive salary and equity
• 🏥 Health insurance
• 🏠 Remote-friendly culture
• 📈 Professional development budget

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager· 45 min