Remote Lead SRE: Scale Observability & Data Infrastructure

Randstad Technologies Recruitment; Ribble Valley; On-site; GBP 95,000 - 135,000; Full time

Job summary

Randstad Technologies Recruitment in the United Kingdom is seeking a Lead Site Reliability Engineer (SRE) focused on observability and reliability. You will design, scale, and operate massive observability systems, joining an autonomous team of engineers dedicated to keeping our global services online and performant.

Remote role with potential travel; you will own complex data infrastructure challenges and drive best practices in monitoring, alerting, and incident response for large-scale

Qualifications

• 5+ years operating mid-to-large distributed systems on Linux VMs or bare-metal.
• 2+ years developing in Go, Python, Ruby, Scala, or Bash.
• Hands-on experience with Prometheus/Thanos/Cortex, Kafka, the ELK stack, Ansible, or Consul.
• Comfortable diving into unfamiliar codebases and participating in an on-call rotation.

Responsibilities

• Scale Prometheus metrics infrastructure to handle 100+ million active series.
• Operate large Elasticsearch clusters holding 2000+TB of data.
• Grow high-throughput Kafka data pipelines processing hundreds of thousands of events per second.
• Build custom alerting workflows and self-service APIs for internal engineering teams.
• Provision cloud and private infrastructure using Terraform.

Skills

Distributed systems

Linux

On-call rotation

Go/Python/Ruby/Scala/Bash

Tools

Prometheus/Thanos/Cortex

Kafka

ELK stack

Ansible

Consul

Terraform

Job description

Randstad Technologies Recruitment in the United Kingdom is seeking a Lead Site Reliability Engineer (SRE) focused on observability and reliability. You will design, scale, and operate massive observability systems, joining an autonomous team of engineers dedicated to keeping our global services online and performant.

Remote role with potential travel; you will own complex data infrastructure challenges and drive best practices in monitoring, alerting, and incident response for large-scale