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SRE​/AIOps Engineer

Job in Sheffield, South Yorkshire, S5, England, UK
Listing for: Era4
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing, IT Support, SRE/Site Reliability
Job Description & How to Apply Below
Position: SRE / AIOps Engineer

Overview

Era4 develops, owns and operates AI infrastructure across the UK, powered by renewable energy. Converting legacy industrial and energy sites into modern data‑centre facilities, Era4 is combining brownfield regeneration opportunities with cleaner, efficient, scalable compute capacity for healthcare, research, finance, enterprise, and public‑sector organisations.

Role Summary

We are seeking Automation & AIOps Engineers who sit at the intersection of Site Reliability Engineering and modern AI‑driven operations. Embedded within Era4's engineering‑led Operations Centre, this role exists to build a modern AI Platform Operations function from scratch, designing tooling, and agentic workflows. No legacy to deal with.

Key Responsibilities
  • Runbook Automation & Agent Development
    • Build agentic, executable workflows capable of triaging, diagnosing, and where appropriate autonomously remediating known failure patterns.
    • Build and maintain LLM‑backed agents targeting the observability stack, ITSM platform, and infrastructure APIs (e.g. DCIM, IPAM, hypervisor layers).
    • Develop auditable client‑focused automations, for client interactions and workflows, with appropriate controls.
    • Develop safe, auditable automation with appropriate controls for higher‑risk platform actions.
  • Operational Tooling & Self‑Service Enablement
    • Build internal tooling that empowers engineers and service desk analysts: CLI utilities, Chat Ops integrations (Slack/Teams bots), status dashboards, and self‑service automation hooks.
    • Reduce dependency on Dev Sec Ops  and engineering teams for routine operational tasks through automation.
    • Maintain and contribute a library of automation assets, agent prompts, and runbook‑as‑code artefacts, version‑controlled and peer‑reviewed.
  • Event & Alert Intelligence
    • Develop the automation layer around monitoring and event management: alert suppression logic, enrichment pipelines, correlation rules, and alert‑to‑ticket integrations.
    • Continuously tune signal‑to‑noise ratios across monitoring tooling (Prometheus, Mimir, Grafana, or equivalent) to improve situational awareness.
    • Design and implement event correlation and deduplication logic to reduce alert storms and improve incident context.
  • Continuous Improvement & Knowledge Capture
    • Identify common operational patterns and tasks as candidates for automation; maintain and prioritise a toil reduction backlog.
    • Participate in post‑incident reviews and translate findings into updated automation, runbooks, or agent logic.
    • Contribute to the evolution of Era4's operational standards, tooling architecture, and agent framework.
Essential Experience Technical – Core Element
  • Strong Python development skills, including scripting for automation, API integration, and data processing.
  • Hands‑on experience with observability and monitoring platforms:
    Prometheus, Grafana, Mimir, or equivalent.
  • Experience integrating with ITSM platforms (Service Now, Halo, Jira Service Management, or similar) via API.
  • Solid understanding of event‑driven architectures, message queues, and webhook‑based automation patterns.
  • Strong understanding of managing GPU infrastructure in production, key signals and metrics and the automation of workflows.
  • Familiarity with Infrastructure‑as‑Code principles and cloud‑native environments (Kubernetes, Terraform, or similar).
Technical – Agent & AI
  • Demonstrable experience building LLM‑powered agents or automation using frameworks such as Lang Chain, Llama Index, the Anthropic SDK, OpenAI function calling, or comparable tooling.
  • Understanding of agentic design patterns: tool use, structured output, human‑in‑the‑loop controls, and chain‑of‑thought reasoning for operational tasks.
  • Comfort operating in an API‑first environment, integrating agents with infrastructure APIs, DCIM, IPAM, and hypervisor control planes.
Operational
  • Prior experience in an SRE, Senior Operations, or Platform Engineering environment, with exposure to on‑call operations and incident management processes.
  • Experience in converting narrative runbooks into executable automation or codified decision trees.
  • Understanding of ITIL‑aligned incident and change management principles and ITSM tooling.
One Or More Would Be An…
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