Site Reliability Engineer – Hybrid Cloud & Automation

ClearScore

Greater London

Hybrid

GBP 80,000 - 120,000

Full time

14 days+
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Benefits offered by this job

25 holidays
Hybrid work environment
Private health and dental
Life assurance
Pension contribution
Lunch and learns
Dog-friendly office
Breakfast and snacks
Learning and development
In-house psychotherapist

Job summary

ClearScore is expanding its Site Reliability Engineering team in the UK to build and maintain a resilient internal developer platform providing three nines uptime. You will automate, monitor and scale critical services using Kubernetes, AWS, Terraform and CI/CD tools, while embracing AI-assisted workflows for efficiency.

You will collaborate with development and operations teams, own incident response, and contribute to a culture of continuous improvement, learning, and high-quality software

Qualifications

  • Experience building and supporting scalable, automated infrastructure.
  • Experience operating distributed systems with complex failure modes.
  • Deploying and operating infrastructure in AWS or similar cloud.
  • Building and running containerised production workloads and CI/CD pipelines.
  • Experience with logging, monitoring and security best practices.

Responsibilities

  • Develop and maintain an internal developer platform with a focus on reliability.
  • Investigate and resolve production issues and drive incident response improvements.
  • Collaborate with product and engineering teams to improve software delivery and system resilience.

Skills

Linux automation
Distributed systems
Go
Python
Networking fundamentals
Automation
Security best practices

Tools

Kubernetes
AWS
Terraform
Jenkins
ArgoCD
Docker
Kafka
Elasticsearch
Grafana
Prometheus

Job description

ClearScore is expanding its Site Reliability Engineering team in the UK to build and maintain a resilient internal developer platform providing three nines uptime. You will automate, monitor and scale critical services using Kubernetes, AWS, Terraform and CI/CD tools, while embracing AI-assisted workflows for efficiency.

You will collaborate with development and operations teams, own incident response, and contribute to a culture of continuous improvement, learning, and high-quality software

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