Senior Observability Platform Engineer

Nscale is hiring a Senior Observability Platform Engineer. It pays $160k-$230k a year and Level rates it ; you can apply on Nscale.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting mentions Prometheus, Grafana and Kubernetes among its tools and skills.
Level classes it as a senior role.
Nscale has 299 other open roles on Level.

AI in this role

Design and scale observability platforms specifically for GPU clusters and AI workloads.

PrometheusGrafanaKubernetesDatadog

observabilitysreinfrastructuremonitoringgpu-clusters

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
Experience operating and scaling observability systems in production environments
Strong understanding of monitoring concepts: metrics, logs, traces, alerting, and SLOs
Hands-on experience with several of: Prometheus, Thanos, VictoriaMetrics, Grafana, Loki, Tempo, OpenTelemetry, ClickHouse, Elastic
Solid programming skills (Python, Go, or similar) with the ability to build and maintain production systems
Experience working with Kubernetes-based infrastructure
Familiarity with Infrastructure-as-Code (Terraform, Ansible, or similar)
Pragmatic mindset with a focus on simplicity, reliability, and maintainability
Strong collaboration skills and ability to work across teams

Preferred

Experience with observability data pipelines (Kafka, Vector, Fluent Bit, etc.)
Exposure to AI/ML infrastructure or GPU-based systems
Familiarity with performance monitoring for distributed systems
Experience improving developer experience through observability tooling

Equal Opportunities Statement

We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent individuals, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

Note: Responsibilities outlined are not exhaustive and may evolve as business needs change

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.

Salary Range$160,000—$230,000 USD

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

Nscale does not accept unsolicited candidate submissions from recruitment agencies.

How we rate this

Senior Observability Platform Engineer at Nscale rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Observability Platform Engineer is an open job at Nscale.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $160k-$230k a year.
The role is based in US.
The job was posted on August 21, 2026.
Seniority: senior.
Applications are handled by Nscale. Apply on Nscale

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ObservabilitySreInfrastructureMonitoringGPU ClustersPrometheusGrafanaKubernetes

Questions you could be asked

Tell me about a project where observability was part of your work. What did you do?
Tell me about a project where sre was part of your work. What did you do?
Tell me about a project where infrastructure was part of your work. What did you do?
Tell me about a project where monitoring was part of your work. What did you do?
Tell me about a project where gpu clusters was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Observability, Sre, Infrastructure, Monitoring, and GPU Clusters. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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