Observability Platform Engineer
Posted 21 Aug 2026
Advertised as “Senior Observability Platform Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- Individual contributor
No salary listed for this role.
Senior Observability Platform Engineer – Nscale
About Nscale
Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale simplifies AI development while enabling superior results, supporting strategic business outcomes such as 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 while contributing to the technology that powers the future.
About the Role
As a Senior Observability Platform Engineer, you’ll play a key role in designing, building, and scaling Nscale’s observability platform. You’ll focus on delivering reliable, high-quality visibility into GPU clusters, AI workloads, and the infrastructure that powers them.
You approach observability as a product—balancing usability, scalability, and operational efficiency. You build systems that reduce cognitive load for engineers, surface meaningful signals, and enable fast, confident debugging when things go wrong.
You’ll contribute to platform direction, implement critical systems, and collaborate closely with SRE, infrastructure, and AI/ML teams to ensure observability is embedded into everything we run.
This is a hands-on engineering role with meaningful influence over platform design and evolution.
What You’ll Do
- Design, build, and operate scalable observability systems across metrics, logs, traces, and alerting
- Contribute to architectural decisions around tooling, data pipelines, storage, and retention strategies
- Improve signal quality by reducing noise, managing cardinality, and refining alerting practices
- Help identify and address observability gaps before they impact reliability
- Partner with SRE, infrastructure, and AI/ML teams to integrate observability into services and platforms
- Develop reusable patterns, libraries, and best practices that improve consistency across teams
- Participate in incident response and postmortems, driving actionable improvements
- Evaluate and adopt tools that improve developer experience, scalability, and operational efficiency
- Support and mentor engineers within the team through code reviews and knowledge sharing
About You
- 5+ years in SRE, infrastructure engineering, platform engineering, or observability-focused roles