Observability Platform Engineer (AI)

TL;DR

Observability Platform Engineer (AI): Designing, deploying, and operating global-scale monitoring, logging, and tracing systems for GPU-powered AI infrastructure with an accent on scalability and automation. Focus on instrumenting distributed systems, automating observability via IaC, and improving incident detection and resolution.

Location: UK

Company

hirify.global is a GPU cloud provider engineered for AI, providing high-performance infrastructure for AI start-ups and large enterprise customers.

What you will do

• Design and maintain global-scale observability platforms including monitoring, logging, tracing, and alerting.
• Deploy and manage tools such as Prometheus, Grafana, Datadog, ELK/Opensearch, OpenTelemetry, and Jaeger.
• Automate observability infrastructure using Infrastructure-as-Code and CI/CD pipelines.
• Partner with SRE and Engineering teams to instrument applications and systems for telemetry.
• Develop real-time dashboards and alerts to provide visibility into infrastructure health.
• Document observability standards, tools, and processes.

Requirements

• Strong experience in designing and operating observability platforms at scale.
• Hands-on expertise with Prometheus, Grafana, Datadog, ELK/Opensearch, OpenTelemetry, or Jaeger.
• Experience with cloud-native infrastructure including Kubernetes, containers, and service meshes.
• Proficiency in scripting and automation using Python, Go, or Bash.
• Knowledge of Infrastructure-as-Code tools like Terraform, Ansible, or Pulumi.
• Must be located in the UK

Nice to have

• Experience with AI/ML workload observability.
• Familiarity with hyperscale datacenter environments.
• Knowledge of AIOps and advanced telemetry analytics.
• Exposure to sustainability monitoring and efficiency metrics.

Culture & Benefits

• Culture of relentless innovation, ownership, and accountability.
• Environment built on openness, transparency, and excellence.
• Commitment to an inclusive, diverse, and equitable workplace.