🛠 Tech Stack

💼 About This Role

You'll own the reliability, performance, and scalability of Runlayer's enterprise MCP platform infrastructure. Working closely with founders and a senior engineering team, you'll directly enable AI adoption at scale through end-to-end ownership of cloud infrastructure and incident response. This role sits at the center of how AI gets things done in enterprises.

🎯 What You'll Do

• Own reliability and performance of cloud infrastructure across AWS and GCP
• Manage and optimize Kubernetes clusters and container orchestration
• Drive database reliability engineering including performance tuning and scaling
• Build and maintain CI/CD pipelines for rapid safe deployments
• Run incident response and on-call rotations

📋 Requirements

• Strong AWS experience particularly ECS Aurora and CloudWatch
• GCP experience as we expand cross-cloud
• Kubernetes and container orchestration expertise
• DBRE experience with database performance tuning
• CI/CD pipeline ownership and incident response experience

✨ Nice to Have

• Experience deploying and supporting on-prem or hybrid environments
• Python backend familiarity (our platform is Python-based)
• Experience at an early-stage or high-growth company

🎁 Benefits & Perks

• 💰 Competitive salary and equity
• 🏖️ 4 weeks paid vacation plus paid sick leave and parental leave
• 📚 Professional development budget for conferences courses certifications
• 💻 Top-tier equipment your choice of laptop and accessories
• 🏥 Comprehensive health dental and vision coverage

📨 Hiring Process

[email protected]