Observability Platform Engineer

Nscale is the GPU cloud engineered for AI. We provide cost‑effective, high-performance infrastructure for AI start‑ups and large enterprise customers. Nscale enables AI‑focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.

Nscale is seeking an Observability Platform Engineer to design, deploy, and operate the monitoring, logging, and tracing systems that power observability across our global AI datacenter infrastructure. You will focus on scalability, automation, and integration of observability platforms, ensuring that metrics, logs, and traces are accurate, accessible, and actionable.

You’ll work closely with SRE, Infrastructure, and Engineering teams to ensure our GPU‑powered cloud is fully instrumented for reliability and performance.

• Design, build, and maintain observability platforms (monitoring, logging, tracing, alerting) at global scale.
• Deploy and manage tools such as Prometheus, Grafana, Datadog, ELK/Open search, Open Telemetry, and Jaeger.
• Automate observability infrastructure using Infrastructure‑as‑Code and CI/CD pipelines.
• Partner with engineering and SRE teams to instrument applications and systems for telemetry.
• Develop dashboards, alerts, and analytics to provide real‑time visibility into infrastructure health.
• Ensure observability data is accurate, reliable, and retained per compliance requirements.
• Troubleshoot observability platform issues, ensuring high availability and performance.
• Drive adoption of best practices for monitoring, logging, and tracing across the company.
• Contribute to continuous improvement of incident detection, response, and resolution.
• Document observability standards, tools, and processes.

• Strong experience in designing and operating observability platforms at scale.
• Hands‑on expertise with monitoring, logging, and tracing tools (Prometheus, Grafana, Datadog, ELK/Open search, Splunk, Open Telemetry, Jaeger).
• Experience with cloud‑native infrastructure (Kubernetes, containers, service meshes).
• Proficiency in scripting/automation (e.g., Python, Go, Bash).
• Knowledge of Infrastructure‑as‑Code (Terraform, Ansible, Pulumi) and CI/CD practices.
• Strong understanding of distributed systems reliability and incident management.
• Excellent problem‑solving skills with the ability to diagnose performance issues across systems.
• Good collaboration skills to work with engineering, operations, and product teams.

• Experience with AI/ML workload observability.
• Familiarity with hyperscale datacenter environments.
• Knowledge of AIOps and advanced telemetry analytics.
• Exposure to sustainability monitoring (e.g., power usage effectiveness, efficiency metrics).

At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio‑economic backgrounds.

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice.