Operational Data & Observability Engineer

Troubleshoot production issues using monitoring, logging, and tracing data.

Participate in an on-call rotation and support incident response activities.

Create and maintain operational documentation, runbooks, and troubleshooting guides.

Partner with engineering teams to improve platform reliability, scalability, and operational readiness.

Continuously optimize observability infrastructure for performance and resilience.

Administer and enhance observability platforms such as Datadog, Grafana, Prometheus, ELK Stack, New Relic, or similar technologies.

Evaluate emerging observability tools and recommend improvements.

Automate monitoring deployments, instrumentation, and platform configuration.

Perform ongoing maintenance, upgrades, and lifecycle management of observability infrastructure.

3+ years of experience in DevOps, Site Reliability Engineering (SRE), Operations Engineering, Platform Engineering, or Observability Engineering.

Hands-on experience with modern monitoring platforms such as Prometheus, Grafana, Datadog, New Relic, or equivalent.

Experience working with centralized logging platforms including ELK/Elastic Stack, Splunk, CloudWatch, or similar solutions.

Proficiency with scripting or programming languages such as Python, Go, Bash, or equivalent.

Strong understanding of observability fundamentals, including metrics, logging, distributed tracing, and application performance monitoring (APM).

Experience working with cloud platforms (AWS, Azure, or Google Cloud Platform) and Kubernetes or other container orchestration technologies.

Solid understanding of application, infrastructure, networking, database, and storage performance monitoring.

Strong analytical, troubleshooting, communication, and documentation skills with a collaborative approach to problem-solving.

Experience supporting microservices-based architectures.

Expertise across multiple observability platforms.

Experience with incident management, root cause analysis, and post-incident reviews.

Infrastructure as Code experience using Terraform, Ansible, or similar tools.

Familiarity with eBPF or low-level Linux performance monitoring.

Experience building custom telemetry, ETL, or operational data pipelines.

Understanding of security monitoring, audit logging, and compliance requirements.

Success in this role will be measured by your ability to:

Improve platform visibility and operational health.

Reduce Mean Time to Resolution (MTTR) during incidents.

Increase alert quality while reducing unnecessary noise.

Deliver highly available, scalable observability platforms.

Improve engineering productivity through actionable monitoring and operational insights.

Optimize observability infrastructure performance and cost efficiency.

Participate in a rotating on-call schedule to support production environments.

Support mission-critical systems with occasional after-hours or incident response responsibilities.

Hybrid or remote work arrangements available, depending on business needs.

You'll play a critical role in building the operational intelligence that keeps our platforms running at scale. If you're passionate about observability, automation, reliability, and empowering engineering teams with meaningful operational insights, we'd love to hear from you.

The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.

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