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
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:
As an Observability Platform Engineer, you will design, implement, and operate Era4’s enterprise observability platform across its AI infrastructure environment. You will build and maintain highly available telemetry, monitoring, alerting, and dashboarding capabilities using the Grafana ecosystem, Kubernetes, OpenTelemetry, and Infrastructure-as-Code.
Working across compute, GPU, storage, networking, and application platforms, you will establish scalable observability standards, automate platform operations, support incident detection and root-cause analysis, and ensure the platform is secure, resilient, and maintainable as Era4 scales.
Key Responsibilities:
Observability Platform Implementation:
- Design and implement highly available observability services across multiple co-location and production sites.
- Define platform standards for telemetry collection, labelling, metadata enrichment, retention policies, and data governance.
- Implement multi-tenant observability controls and tenant isolation strategies
- Configure telemetry ingestion pipelines for metrics, logs, and future distributed tracing workloads.
- Configure and maintain object-storage-backed telemetry platforms for long-term retention and scalability.
Telemetry Collection & Integration:
- Deploy and manage Grafana Alloy collectors across Kubernetes clusters, Linux hosts, network infrastructure, storage platforms, and hardware management systems.
- Integrate telemetry from Kubernetes, GPU infrastructure, HPE hardware, storage platforms, network devices, and cloud-native services.
- Develop and maintain observability integrations using OpenTelemetry standards and protocols.
- Establish onboarding processes for new platforms, applications, and infrastructure services.
- Collaborate with application teams to define observability requirements and future tracing adoption strategies.
Alerting & Operational Insights:
- Design and implement alerting frameworks using recording rules, AlertManager, and operational best practices.
- Develop operational dashboards and service health views for infrastructure, platform, and application services.
- Support integration of observability events with ITSM and incident-management platforms.
- Define SLIs, SLOs, alert thresholds, and operational KPIs.
- Continuously improve platform observability, incident detection, and root-cause analysis capabilities.
Reliability & Automation:
- Implement Infrastructure-as-Code and GitOps practices for observability platform deployment and configuration management.
- Develop automation for dashboard provisioning, alert deployment, tenant onboarding, and telemetry configuration.
- Design and validate disaster recovery, resilience, and failover capabilities across observability services.
- Contribute to platform security, compliance, and operational governance initiatives.
- Work with operational teams to ensure observability services remain reliable, scalable, and maintainable.
Required Experience & Skills:
- Significant experience implementing and operating enterprise observability or monitoring platforms.
- In depth understanding of metrics, logs, traces, OpenTelemetry, and modern observability principles.
- Relevant experience of:
- Grafana ecosystem technologies - Grafana, Prometheus, Grafana Mimir, Grafana Loki, Grafana Tempo, Grafana Alloy
- Designing Kubernetes-native solutions and operating distributed platforms at scale.
- Linux systems administration and cloud-native infrastructure.
- Infrastructure-as-Code and GitOps approaches (preferably including Ansible).
- Automation and operational tooling using Python and/or Go.
- Technical architecture, operational documentation, and deployment designs.
- Object storage technologies and distributed data platforms.
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.
Skills Required
- Significant experience implementing and operating enterprise observability or monitoring platforms
- In-depth understanding of metrics, logs, traces, OpenTelemetry, and modern observability principles
- Experience with Grafana, Prometheus, Grafana Mimir, Grafana Loki, Grafana Tempo, and Grafana Alloy
- Experience designing Kubernetes-native solutions and operating distributed platforms at scale
- Linux systems administration and cloud-native infrastructure experience
- Infrastructure-as-Code and GitOps experience, preferably including Ansible
- Automation and operational tooling experience using Python and/or Go
- Experience with technical architecture, operational documentation, and deployment designs
- Experience with object storage technologies and distributed data platforms
What We Do
Carbon3.ai is building the UK’s sovereign AI platform – secure, sustainable, and designed for real-world impact. AI growth demands are creating new challenges and compute power requirements are outpacing supply. At Carbon3.ai, we’re not just providing infrastructure, we’re building the foundations to overcome these challenges. We are an energy business transforming into the UK’s sovereign choice for AI. Vertically integrated from soil to software transforming legacy industrial sites into renewable powered AI data hubs. Designed, owned, and operated by Carbon3.ai, all infrastructure and data processing are located within the UK and fully subject to UK jurisdiction and regulatory oversight. We generate our own off-grid renewable power, providing low-cost, sustainable energy comparable to Nordic levels, making AI workloads both affordable and sustainable. We own 50+ sites across the UK and are rapidly scaling them into AI data centres, enabling high-density, low-latency, sovereign AI deployment at national scale. Whether you're training models, deploying intelligent agents, or building industry-specific solutions, Carbon3.ai accelerates your journey from concept to production. Backed by strategic partnerships with leading brands and robust investment, we’re building the infrastructure to power the UK’s most ambitious AI innovation – ensuring British enterprises can access world-class AI capabilities securely and sustainably.
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