Sr. Site Reliability Engineer
Clearwateranalytics Open · verified Oct 24, 2026 At a glance
Senior Site Reliability role at Clearwateranalytics. Boise · full-time · no salary stated · we estimate $160,681–$217,500 across the United States.
Clearwateranalytics has not published a salary for this role. The figure below is our estimate, not theirs.
devopsroles summary, based on the employer's posting.
What you'll do
- Build and run production environments designed to stay available as demand and system scale change
- Set reliability measures and targets, then use them to guide service performance
- Automate infrastructure with Terraform and operate Kubernetes workloads on Amazon EKS
- Maintain observability through monitoring, logs and alerts using the named platforms
- Lead on-call response, investigate production failures and develop AI-supported triage and root-cause workflows
What you bring
- At least seven years in site reliability or platform engineering, plus a computer science degree or equivalent practical background
- You have owned production incident response, on-call work and root-cause investigations
- You bring strong Terraform skills and hands-on AWS and EKS experience
- You can work with observability platforms and write code in Python, Java, Go or Bash
- You have used AI-assisted automation to reduce repetitive work and strengthen reliability
Who this fits
This senior role suits someone who can take ownership of production reliability and troubleshoot effectively under pressure. You’ll work with development teams on application stability and delivery, and take part in an on-call rotation.
From the employer
Job Summary
We are seeking a highly skilled Senior Site Reliability Engineer to ensure the reliability, scalability, and performance of our cloud-native systems and applications. This role drives automation, monitoring, and incident management practices while operating Kubernetes platforms (Amazon EKS) and leveraging observability tools such as Prometheus, Grafana, Dynatrace, and OpenSearch to maintain high availability and operational excellence.
Key Responsibilities
• Design, build, and maintain highly available, scalable, and reliable 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 root cause analysis (RCA).
• Drive AI-assisted investigations as a core part of incident response, and build and maintain the prompts, integrations, and guardrails that make AI-driven triage and RCA reliable.
• Improve system reliability through automation, self-healing mechanisms, and performance tuning.
• Collaborate with development teams to improve application reliability, scalability, and deployment processes.
• Build and maintain CI/CD pipelines (GitLab CI, Jenkins, or GitHub Actions) 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.
Required 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 root cause analysis (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.
Preferred Skills
• Docker and Linux administration.
• Build systems and dependency management (Maven, Gradle, npm).
• Additional AWS services: Cognito, WAF, Elasticsearch, SNS, SQS, S3, Systems Manager.
• Database infrastructure knowledge (RDS, MySQL, SQL Server).
• Cloud or Kubernetes certifications.
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