Scale.jobs

Site Reliability Engineer

Scale.jobs

United States

Accepting Applications Full-time On-site LinkedIn
Posted 4 days, 11 hours ago 1 views 0 applications
Job Description

About The Role The role is responsible for the reliability, scalability, and performance of distributed production systems. The team focuses on engineering away operational toil through automation, building self-healing infrastructure, and establishing robust observability across multi-region cloud deployments.

This position collaborates closely with product engineering teams to architect resilient systems, manage incident response, and ensure the platform can scale to support rapid user growth while maintaining strict SLA commitments.

Key Responsibilities

  • Design, build, and maintain infrastructure as code using Terraform to manage multi-region AWS environments
  • Develop and optimize Kubernetes container orchestration, including cluster provisioning, scaling policies, and ingress controllers
  • Implement comprehensive observability pipelines using Prometheus, Grafana, and OpenTelemetry to monitor system health and latency
  • Participate in a blameless on-call rotation, leading incident response, root-cause analysis, and post-mortem action items
  • Build and maintain CI/CD deployment pipelines using GitHub Actions or GitLab CI to ensure safe, automated code delivery
  • Automate routine operational tasks and system maintenance using Python, Go, or Bash scripting

What We Are Looking For

  • 3–6 years of experience in Site Reliability Engineering, DevOps, or systems engineering managing high-traffic production environments
  • Strong proficiency with containerization and orchestration technologies, specifically Docker and Kubernetes
  • Hands-on experience managing public cloud infrastructure, preferably AWS, using Terraform or CloudFormation
  • Solid understanding of Unix/Linux systems internals, networking protocols, and web security standards
  • Proficiency in at least one scripting or programming language such as Python, Go, or Bash
  • Bonus: Experience with service meshes (Istio, Linkerd), advanced database administration (PostgreSQL, Redis), or managing multi-tenant SaaS environments
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