Site Reliability Engineer – AI-first Platform

About the Team

The BlueCat Horizon team powers all BlueCat SaaS products. Our mission is to deliver enterprise-grade software on a reliable, fast, globally distributed, and cost-efficient cloud platform. We are building an AI-first platform, where agentic systems run as core production workloads on Kubernetes (EKS) and AWS AgentCore.

About the Role

We are looking for a Site Reliability Engineer to help make our AI agent platform production-ready, secure, observable, and scalable. This role focuses on operating, automating, and hardening systems built by development teams, ensuring experimental AI capabilities are reliably delivered as enterprise-grade production services. You will work across platform engineering, infrastructure, and development teams to improve reliability, automation, and delivery speed.

What You’ll Do

• Operate and scale Kubernetes (EKS) clusters running AI and cloud-native workloads
• Support productionization of AWS AgentCore-based systems
• Design, build, and maintain CI/CD pipelines using GitLab CI/CD for applications and platform services
• Build and improve automated deployment workflows across environments
• Implement and maintain observability systems (metrics, logs, traces)
• Define and enforce SRE practices: SLIs, SLOs, alerting, incident response, postmortems
• Partner with development teams to ensure services are production-ready and operable
• Participate in on-call rotation and support incident resolution and root cause analysis
• Build infrastructure using Terraform for repeatable deployments
• Improve cost efficiency, performance, and reliability of the platform

What You Bring

• 5+ years of experience in SRE, DevOps, or Platform Engineering
• Strong hands-on experience with AWS and Kubernetes (EKS)
• Experience operating or supporting AWS AgentCore or similar AI/agent platforms
• Strong proficiency in Python for automation
• Solid understanding of AWS identity and access management (IAM), including SSO/Identity Center, roles, policies, trust relationships, SCPs, and cross-account access patterns
• Experience with Infrastructure as Code (Terraform preferred)
• Strong understanding of CI/CD using GitLab CI/CD
• Ability to quickly onboard into existing AWS environments and operate independently
• Experience working with on-call and incident management in production systems

Nice to Have

• Experience with AI/LLM or agent-based systems
• Running stateful workloads on Kubernetes (PostgreSQL, Redis, etc.)
• Knowledge of RAG, vector databases, or knowledge systems
• Multi-region AWS architecture experience
• Cost optimization and capacity planning experience