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IREN

Operates renewable-powered AI GPU cloud infrastructure

Reliability & Observability Analyst 1

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeFort Worth, TX, USANo salary listed

About the Job

Requirements

  • One to three years of experience in IOC, NOC, SRE-adjacent operations, systems analysis, or technical support roles.
  • A bachelor's degree in Computer Science, Data Science, or Statistics, or equivalent hands-on experience.
  • Exposure to 24/7 production environments supporting infrastructure, cloud, or data center operations.
  • Foundational awareness of SRE concepts such as service health, MTTR/MTTD, and the incident lifecycle, and the ability to apply them in operational analysis.
  • Working knowledge of Linux-based systems, basic networking concepts, and infrastructure dependencies.
  • Experience working with metrics, logs, and alerting systems across infrastructure or application environments.
  • Familiarity with observability platforms such as Splunk, Datadog, or Prometheus-style metrics.
  • Ability to assess alert quality, identify noise, and recognize monitoring gaps.
  • Awareness of AIOps concepts such as anomaly detection, event correlation, and alert noise reduction, primarily to review and validate automated insights.
  • Experience validating automated insights and supporting alerting or observability automation.
  • Ability to read automation artifacts in Python, Bash, or configuration-based workflows, and assist with minor updates under documented procedures and guidance.
  • Ability to analyze incident trends and system behaviors with strong attention to data accuracy and signal integrity, and identify recurring issues or improvement opportunities.
  • Clear communication skills and comfort working cross-functionally with operations and engineering teams.

Responsibilities

  • Analyze incident data, system behaviors, and operational signals across GPU clusters, networks, and facilities to identify risks and trends.
  • Identify detection gaps, alert delays, false positives, and under-monitored systems, and document findings for review by IOC leadership or engineering teams.
  • Validate ticketing and incident data for accuracy, completeness, and reporting integrity.
  • Support continuous improvement of observability by evaluating metrics, logs, alerts, and dashboards.
  • Assist in refining operational views focused on service health, reliability, and signal quality.
  • Generate post-incident insights highlighting trends, risks, and improvement opportunities.
  • Support AIOps-enabled capabilities by reviewing outputs from anomaly detection, alert correlation, and event clustering, and flagging accuracy or data-quality issues.
  • Validate automated insights and escalate tuning or accuracy issues to IOC and engineering teams.
  • Assist with testing automation related to alert routing, enrichment, and suppression, and submit recommended changes through established change and review processes.
  • Produce and maintain SLA/KPI dashboards and reliability reports using established templates, definitions, and data sources.
  • Provide data-driven insights and recommendations to inform preventive measures, workflow improvements, and monitoring enhancements.
  • Contribute to runbook updates, operational documentation, and reliability initiatives in partnership with IOC and engineering teams.
  • Develop foundational SRE skills in preparation for expanded operational responsibility.
  • Operate under defined IOC processes and supervision, with increasing responsibility as skills and experience develop.

About the Company

IREN

Operates renewable-powered AI GPU cloud infrastructure

IREN runs renewable-powered AI cloud and digital infrastructure by operating data centers and GPU clusters. Customers access high-performance NVIDIA GPUs and AI training/inference infrastructure through cloud-based services powered by grid-connected and renewable energy assets. It differentiates itself through full vertical integration of energy assets with compute infrastructure and a focus on North America. The company aims to provide scalable, renewable-powered AI compute for enterprises and developers to support large-scale AI workloads.

Company size
501-1,000
Company stage
IPO
Headquarters
Sydney NSW, Australia
Founded
2018

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