Job Title

About the Role: As a Senior Staff Site Reliability Engineer (SRE) at SolarWinds, you will drive the reliability, scalability, and performance of our Observability Platform. This role focuses on managing SaaS infrastructure at scale, improving system reliability through cloud-native architecture, advanced data platform operations, and automation. You will collaborate with engineering, security, and product teams to ensure operational excellence and lead a team of SREs to maintain high service standards. Key Responsibilities: Lead the design, deployment, and operation of SaaS infrastructure ensuring high availability and reliability. Build, operate, and scale Kubernetes clusters (EKS, GKE, AKS, OpenShift) in production. Design and manage data platform infrastructure including Kafka , ClickHouse , and event-driven systems. Implement cloud-native design patterns and scalable architectures across AWS and Azure . Automate infrastructure provisioning and deployment using Terraform , Helm , ArgoCD , CloudFormation , and other Infrastructure as Code (IaC) tools. Maintain monitoring, logging, and observability systems using Prometheus , Grafana , Datadog , CloudWatch , ELK/Opensearch , and OTel/Jaeger . Develop and maintain disaster recovery plans and high availability strategies. Lead incident response, conduct blameless postmortems , and implement preventive measures. Mentor and guide SRE and DevOps engineers to improve team efficiency and adherence to best practices. Collaborate cross-functionally with engineering, product, and security teams to optimize system performance, reliability, and cost efficiency. MUST HAVE: 13+ years in SRE, DevOps, Platform Engineering , or equivalent roles. 8+ years in SaaS infrastructure management , cloud-native system design, and production operations. 5+ years managing Kubernetes clusters at scale in production environments. Hands-on experience with data platforms : Kafka , ClickHouse , or similar. Strong programming/scripting in Python , Go , Bash , or equivalent. Infrastructure automation using Terraform , Helm , ArgoCD , CloudFormation . Experience with CI/CD pipelines , GitOps , and deployment automation. Expertise in observability : monitoring, logging, tracing (Prometheus , Grafana , Datadog , CloudWatch , ELK/Opensearch , OTel/Jaeger ). Strong understanding of disaster recovery principles and high availability architectures . Security operations knowledge: IAM, encryption, cloud security best practices. Proven leadership and mentoring experience in SRE/DevOps teams. Preferred Qualifications: Experience with Karpenter or KEDA for Kubernetes autoscaling. Experience managing distributed SaaS services across multiple regions. Familiarity with FinOps or cloud cost optimization. Experience with protocol buffers (Buf) , event-driven system optimizations, or cloud-native databases. Knowledge of container orchestration patterns (ECS , EKS , GKE , AKS , OpenShift ).