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Information Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Site Reliability Engineer

ScaleGrid Systems
San Francisco
Estimasi Gaji
USD 170.000 – USD 215.000
Waktu Posting
7 November 2026
Batas Akhir
8 Nov 2027

Deskripsi Pekerjaan

ScaleGrid Systems is seeking an experienced Senior Site Reliability Engineer to scale and maintain our multi-region cloud platform. In this role, you will lead the architecture of fault-tolerant infrastructure, automate production operations, and drive latency reduction initiatives across globally distributed microservices.

We prioritize zero-downtime deployments, proactive incident management, and deep observability. You will collaborate directly with core product engineering teams to eliminate single points of failure and ensure 99.99% availability SLAs.

Tanggung Jawab

  • Architect, provision, and maintain robust infrastructure across AWS and GCP using Terraform.
  • Manage production Kubernetes clusters running low-latency, mission-critical distributed workloads.
  • Design and maintain monitoring, alerting, and distributed tracing systems using Prometheus, Grafana, and OpenTelemetry.
  • Lead root-cause analysis investigations for production incidents and drive blameless post-mortems.
  • Automate manual operations through robust software tooling written in Go or Python.
  • Participate in a sustainable, compensated on-call rotation with an emphasis on engineering away toil.

Kualifikasi

  • 5+ years of production experience in an SRE, DevOps, or Infrastructure Engineering role.
  • Demonstrated expertise with container orchestration at scale using Kubernetes.
  • Strong programming proficiency in Go, Python, or Rust.
  • Deep understanding of Linux systems internals, TCP/IP networking, and distributed systems architecture.
  • Extensive experience implementing Infrastructure as Code with Terraform or Pulumi.
  • Proven track record managing cloud infrastructure on AWS, GCP, or Azure.

Keahlian yang Dibutuhkan

Kubernetes Go Terraform AWS Prometheus Grafana CI/CD Linux Docker Distributed Systems

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