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DrataDrataSan Francisco, CA

Senior Site Reliability Engineer

Senior SRE partners with a product team to architect reliable systems, define SLOs/SLIs, eliminate toil via automation, and build shared platform tooling on AWS. Requires 6+ years experience with Terraform, Datadog, container orchestration, Python/Bash, and AI familiarity.

Salary not listed
Hybrid6+ YOEDevOps / SRE

About the role

Responsibilities

Reliability Architecture for Your Product Team

  • Engage early in architecture reviews and design discussions to surface risks
  • Lead Production Readiness Reviews (PRRs) before new services launch
  • Partner with product engineering leads to define SLOs and SLIs for critical services
  • Participate in team planning and architecture reviews
  • Build reusable artifacts like SLO templates, observability checklists, alerting standards, reference dashboards

Eliminating Toil Through Engineering

  • Build and maintain Datadog monitors, dashboards, and alert routing using Terraform
  • Handle infrastructure requests: ECS task management, secret rotations, Terraform changes, capacity adjustments
  • Identify repeated manual work and convert to self-service tooling or runbooks
  • Audit existing services for reliability anti-patterns

Central SRE Platform Work

  • Design and build shared platform infrastructure: reusable Terraform modules, standardized observability stacks, service templates
  • Participate in on-call rotation, lead incident response, conduct post-incident reviews
  • Design and manage CI/CD pipelines using GitHub Actions
  • Contribute to evolving SRE standards, tooling, and practices

Requirements

  • 6+ years of experience in Site Reliability Engineering, Cloud Engineering, or building scalable services
  • Robust knowledge of Terraform, Docker, Git, Linux
  • Hands-on experience with Datadog for monitoring, alerting, dashboards, SLO tracking, distributed tracing
  • Experience building software systems as a software engineer
  • Experience developing tooling and automation in Python and/or Bash
  • Experience with CI/CD pipeline automation, specifically GitHub Actions
  • Experience with disaster recovery practices and incident management
  • Strong understanding of observability concepts (monitoring, logging, distributed tracing, metrics)
  • Experience with container orchestration: AWS ECS Fargate and/or Kubernetes
  • Experience with relational databases (MySQL proficiency a plus)
  • Ability to take ownership independently
  • AI Experience (at least one): AI-assisted development tools (GitHub Copilot, etc.), AI/AIOps for reliability, operational characteristics of AI/ML services, or passion for AI in infrastructure

Nice to Have

  • Experience with AIOps (AI/ML for anomaly detection, predictive alerting, incident triage)
  • Familiarity with reliability of AI/ML-backed services (LLM inference, non-determinism)
  • Experience with JavaScript/Node.js ecosystem
  • Certified Kubernetes Administrator (CKA)
  • Familiarity with compliance frameworks (SOC 2, ISO 27001, NIST)

Skills

TerraformDatadogAws Ecs FargateKubernetesDockerPythonBashGitHub ActionsLinuxMySQLSLOsSlisCI/CDObservabilityGit

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