Site Reliability Engineer — Crawler Platforms & Reliability

Perplexity

Greater London

On-site

GBP 90,000 - 125,000

Full time

41 hours ago
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Job summary

Perplexity is seeking a seasoned Site Reliability Engineer to keep crawler platforms productive. You’ll optimize Kubernetes workloads, plan capacity, and improve reliability through safer deployments, observability, and durable fixes.

You’ll define SLOs, build monitoring with Datadog/Prometheus, and own incident response. Strong Python/C++, Go or Rust skills, cloud infra experience, and IaC tooling are essential for sustaining high availability at scale.

Qualifications

  • 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles.
  • Hands-on cloud infrastructure, production Kubernetes, Terraform, and automated deployments.
  • Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing.
  • Experience diagnosing distributed-system failures and leading production incidents, improving performance.

Responsibilities

  • Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services.
  • Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback.
  • Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation.
  • Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and bottlenecks with service owners.
  • Participate in on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements.
  • Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions.

Skills

SRE / production engineering
Backend systems
Python
C++
Rust
Go

Tools

Terraform
Kubernetes
Datadog
Prometheus
Grafana

Job description

Perplexity is seeking a seasoned Site Reliability Engineer to keep crawler platforms productive. You’ll optimize Kubernetes workloads, plan capacity, and improve reliability through safer deployments, observability, and durable fixes.

You’ll define SLOs, build monitoring with Datadog/Prometheus, and own incident response. Strong Python/C++, Go or Rust skills, cloud infra experience, and IaC tooling are essential for sustaining high availability at scale.

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