Site Reliability Engineer – AI-first Platform

Job description

We're BlueCat—a Great Place to Work for good reason. Our team solves critical network challenges for some of the world's largest organizations. In simple terms, we manage the systems that keep networks running smoothly, securely, and reliably—the backbone infrastructure that powers digital transformation for enterprises globally. Our Intelligent Network Operations platform delivers and enables AI-driven agentic ops at scale, automating and simplifying how companies manage, secure, and optimize their networks. But what makes us different is how we work: we believe great work happens in an environment where you're trusted, heard, and supported. With teams globally, we're building a workplace culture that values collaboration and integrity as much as innovation. If you're looking to advance your career with a company that invests in its people, this is it. **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