Remote Observability & Reliability Engineer

Nscale; United States; Hybrid; USD 145,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision

Flexible paid time off

Parental leave

Equity/bonus programs

Job summary

Nscale is seeking an Operational Data & Observability Engineer to build and evolve monitoring, logging, and observability capabilities for our production environments. You will partner with DevOps, SRE, and platform teams to develop modern observability solutions and enable data-driven operational excellence.

Responsibilities include designing dashboards and SLOs, building centralized logging pipelines, implementing distributed tracing, and ensuring data quality and cost-efficient storage.

Qualifications

• 3+ years in DevOps, SRE, Operations, Platform, or Observability Engineering.
• Hands-on experience with modern monitoring platforms (Prometheus, Grafana, Datadog, New Relic).
• Experience with centralized logging (ELK/Elastic Stack, Splunk, CloudWatch).
• Proficiency in Python, Go, or Bash scripting; strong observability fundamentals.

Responsibilities

• Design and implement enterprise observability strategies across infrastructure, services, and applications.
• Develop dashboards, alerts, and SLOs for operational visibility.
• Build and maintain logging and log analysis pipelines; implement distributed tracing.
• Design and manage data pipelines for monitoring and analytics; ensure data quality and retention.

Skills

Observability

DevOps

SRE

Python

Go

Shell/Bash

Tools

Prometheus

Grafana

Datadog

ELK Stack

Kubernetes

Job description

Nscale is seeking an Operational Data & Observability Engineer to build and evolve monitoring, logging, and observability capabilities for our production environments. You will partner with DevOps, SRE, and platform teams to develop modern observability solutions and enable data-driven operational excellence.

Responsibilities include designing dashboards and SLOs, building centralized logging pipelines, implementing distributed tracing, and ensuring data quality and cost-efficient storage.