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# Site Reliability Engineer

- **Company:** Era4
- **Location:** UK
- **Salary:** £63,583.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, JIRA, Data Centers, Data Deduplication, Data Center Infrastructure Management (CIM), Python (Programming Language), Reliability Engineering, Prometheus, Software Engineering, Systems Integration, AI Infrastructure, Data Logging, Large Language Models, Grafana, Dynatrace, Servicenow
- **Published:** September 25, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5896926591

## About the Role

* Experience in SRE, Platform Engineering, or production infrastructure operations.
 * Hands-on experience with observability/monitoring tooling (for example Prometheus, Grafana or similar).
 * Exposure to incident management / on-call and converting manual runbooks into automation.
 * Experience with Python for automation, APIs and integrations.

Nice To Have:

 * GPU, datacentre or colocation infrastructure experience.
 * ITSM integrations (ServiceNow, Halo, Jira Service Management or similar).
 * ChatOps tooling (Slack or Microsoft Teams bots).
 * OpenTelemetry, logging or distributed tracing experience.
 * DCIM, IPAM or hypervisor-control-plane integrations.
 * Experience with LLM-assisted or agent-based operational automation.

## Description

We're hiring SRE/Platform engineers with an automation bias to help build Era4's operations capability from the ground up. You'll turn runbooks, alerts and operational workflows into safe, auditable automation and internal tooling that improves reliability across our AI infrastructure and datacentre platform.

This is a Platform / SRE role with software engineering, not an AI model-building role. You'll work closely with operations, platform and engineering teams to reduce manual toil, improve alert quality, and speed up incident response., * Build Python-based automation for incident triage, runbook execution, and routine operational tasks.

 * Integrate observability, ITSM and infrastructure APIs to enrich alerts and automate workflows.
 * Improve monitoring signal quality through correlation, enrichment, suppression and deduplication.
 * Build internal tools and self-service capabilities such as CLI utilities, ChatOps integrations and dashboards.
 * Maintain version-controlled runbook-as-code and automation libraries.
 * Translate post-incident learnings into better tooling, automation and operational standards.
 * Support safe, auditable automation for higher-risk actions with appropriate approval controls.


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