Site Reliability Engineer

About the Team

The BlueCat SaaS platform team runs and evolves the cloud platforms that support high-scale, mission-critical networking applications for global enterprises. Today that includes Edge Cloud, our ECS-based platform, and Horizon, our new EKS-based platform. Horizon will onboard more BlueCat products over time, including Edge, with a mission to deliver enterprise-grade software on a reliable, fast, globally distributed, and cost-efficient cloud foundation.

About the Role

We are seeking a Senior Site Reliability Engineer to make our SaaS platforms, Edge Cloud and Horizon, production-ready, secure, observable, and scalable. You will play a pivotal role in improving the reliability, performance, and efficiency of the platform, partnering closely with development, platform, and infrastructure teams.

This role focuses on operating, automating, and hardening systems built by development teams, ensuring that emerging AI capabilities are delivered as enterprise-grade production services. You will own the cloud network fabric connecting our AWS environments, EKS clusters, GitLab, and on-prem infrastructure, and drive improvements in reliability, automation, and delivery velocity across teams.

What You’ll Do

• Own and continuously improve the reliability and availability of core systems and services.
• Build and maintain infrastructure as code with Terraform, enabling repeatable, peer-reviewed, and auditable deployments across accounts and environments.
• Design and maintain fully automated CI/CD pipelines with GitLab CI/CD for applications, infrastructure, and platform services.
• Operate and scale Kubernetes (EKS) clusters and Amazon ECS services running AI and cloud-native workloads, including ingress, CNI, service networking, upgrades, and routine cluster maintenance.
• Architect, build, and operate AWS network infrastructure, including Transit Gateway, VPCs, routing, Site-to-Site VPN and Direct Connect, PrivateLink, and Route 53 Resolver, delivering secure, resilient connectivity between on-prem environments, GitLab, EKS clusters, and multi-account workloads.
• Diagnose and resolve complex connectivity, DNS, routing, and latency issues across hybrid-cloud and Kubernetes networking layers.
• Implement and evolve observability (metrics, logs, and traces) with actionable, low-noise alerting.
• Define and drive SRE practices, including SLIs, SLOs, error budgets, incident response, and blameless postmortems.
• Partner with development teams to ensure services are production-ready and operable through rigorous testing and release practices.
• Participate in the on-call rotation, lead incident resolution, and drive root cause analysis and remediation.
• Improve the cost efficiency, performance, and capacity planning of the platform.
• Mentor engineers and raise the bar for operational excellence.

What You Bring

• 4+ years of experience in SRE, DevOps, Platform, or Cloud Infrastructure Engineering.
• Deep, hands-on AWS networking expertise, including Transit Gateway (attachments, route tables, inter-account and inter-region peering), VPC design, Site-to-Site VPN and Direct Connect, PrivateLink/VPC endpoints, security groups and NACLs, and hybrid DNS.
• Proven experience designing and troubleshooting connectivity between on-prem networks, GitLab (self-managed or SaaS), and EKS clusters.
• Strong hands-on experience with AWS and Kubernetes (EKS), including deploying and troubleshooting workloads, namespaces, services, deployments, and ingress controllers.
• Strong Infrastructure as Code skills with Terraform, including module design, state management, and GitLab CI/CD-based plan/apply workflows.
• Hands-on expertise building and maintaining CI/CD pipelines with GitLab CI/CD.

  Strong proficiency in Python (or Go/Java) for automation and tooling.

• Solid understanding of AWS identity and access management (IAM), including IAM Identity Center/SSO, roles, policies, trust relationships, SCPs, and cross-account access patterns.
• Strong analytical and troubleshooting skills, with a proactive approach to identifying performance bottlenecks and areas for improvement.
• Experience with on-call rotations and incident management for production systems.
• Ability to onboard quickly into existing AWS environments and operate independently.
• Excellent communication skills, with the ability to translate technical issues into business-relevant terms and manage stakeholder expectations.

Nice to Have

• Experience with Azure and/or GCP, including their networking and IaC frameworks.
• Experience operating or supporting AWS AgentCore or similar AI/agent platforms, or other AI/LLM and agent-based systems.
• Experience running stateful workloads on Kubernetes (PostgreSQL, Redis, Elasticsearch, InfluxDB, etc.).
• Knowledge of RAG, vector databases, or knowledge systems.
• Multi-region AWS architecture experience, and experience with Amazon ECS-based platforms.
• Cost optimization, capacity planning, and infrastructure budgeting experience.
• Relevant certifications, such as AWS Advanced Networking - Specialty, AWS Solutions Architect - Professional, and a Kubernetes certification (CKA, CKAD, or CKS).