Sr. Site Reliability Engineer
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Before you apply
LocationOffice - Boise
Work modeon-site
Typefull-time
SenioritySenior
Experience7+ yrs
Company size501–1,000 people
PostedSep 24, 2026 · 1mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Amazon EKS
Prometheus
Grafana
Dynatrace
OpenSearch
Terraform
GitLab CI
Jenkins
GitHub Actions
Python
Java
Go
Bash
Docker
Linux
Maven
Gradle
npm
AWS
RDS
MySQL
SQL Server
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.
Requirements
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.