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Carbon3.ai

SRE / AIOps Engineer

Posted 3 Hours Ago
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In-Office
London, Greater London, England, GBR
Mid level
In-Office
London, Greater London, England, GBR
Mid level
The SRE/AIOps Engineer will develop autonomous workflows and operational tooling for AI-driven platform operations, focusing on automation, observability, and continuous improvement.
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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

**This is a greenfield role, building a modern Agentic approach to Client and Infrastructure Operations**.

 

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, ChatOps integrations (Slack/Teams bots), status dashboards, and self-service automation hooks.
  • Reduce dependency on DevSecOps 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 (ServiceNow, 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 LangChain, LlamaIndex, 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 advantage:

  • Exposure to data centre or colocation operations, particularly high-density compute or GPU infrastructure environments.
  • Experience with ChatOps tooling: building Slack or Microsoft Teams bots for operational workflows.
  • Familiarity with DCIM platforms and telemetry pipelines (power, thermal, network).
  • Knowledge of OpenTelemetry, distributed tracing, or log aggregation platforms (Loki, ELK, Splunk).
  • Contributions to open-source observability or automation tooling.
  • Experience in a start-up or scale-up environment where tooling is built from scratch.

 

Why Join Era4:

You’ll be joining a mission-driven start-up building critical national infrastructure, where operational excellence directly enables growth. This role offers high visibility with leadership, real autonomy, and the chance to shape how a next-generation company operates at scale.

 

Diversity & Inclusion

Era4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 

 

Top Skills

Grafana
Halo
Jira Service Management
Kubernetes
Langchain
Llamaindex
Mimir
Openai
Prometheus
Python
Servicenow
Terraform

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