Senior SRE: Cloud Reliability & AI-Driven Incident Triage

Clearwater Analytics

Boise (ID)

On-site

USD 130,000 - 170,000

Full time

3 days ago

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Job summary

Clearwater Analytics is seeking a Senior Site Reliability Engineer to ensure the reliability, scalability, and performance of cloud-native systems. You will drive automation, monitoring, and incident management on Kubernetes (Amazon EKS) with observability using Prometheus, Grafana, Dynatrace, and OpenSearch.

You will own SLI/SLO/SLA definitions, automate provisioning with Terraform, and lead on-call incident response, RCA, and cost optimization.

Qualifications

Bachelor's degree in computer science or a related field, or equivalent practical experience.
7+ years in Site Reliability Engineering or Platform Engineering.
Proven ownership of incident management, on-call support, and RCA for production systems.
Strong expertise in Terraform and Infrastructure as Code.
Hands-on experience with AWS and EKS.
Strong understanding of monitoring, logging, and observability (Prometheus, Grafana, Dynatrace, OpenSearch).
Proficiency in Python, Java, Go, or Bash.
Experience with Agile development and CI/CD pipelines (GitLab CI, Jenkins, or GitHub Actions).
Strong problem-solving, documentation, and communication skills.
Proven ability to troubleshoot effectively in high-pressure production environments.
Experience with autoscaling, performance tuning, and cost optimization.
Familiarity with AI-assisted automation tools and a track record of using them to reduce toil and improve reliability.

Responsibilities

Design, build, and maintain highly available, scalable production systems.
Define and manage SLIs, SLOs, and SLAs to drive system reliability.
Automate infrastructure provisioning and operations using Terraform (IaC).
Operate and manage cloud-native platforms, including Amazon EKS.
Implement and maintain monitoring, logging, and alerting using Prometheus, Grafana, Dynatrace, and OpenSearch.
Lead incident management — on-call rotation, production troubleshooting, and RCA.
Drive AI-assisted investigations as a core part of incident response, and build prompts/integrations/guardrails for reliable AI-driven triage.
Improve system reliability through automation, self-healing, and performance tuning.
Collaborate with development teams to improve application reliability, scalability, and deployment processes.
Build and maintain CI/CD pipelines for fast, reliable software delivery.
Perform capacity planning and cost optimization for infrastructure and services.
Ensure security, compliance, and best practices across infrastructure and applications.