Senior 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 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.

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.

Responsibilities

• 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

Requirements

• 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

• 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

Pay

Salary Range: $160,000 USD - $230,000 USD. 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.

Benefits

• Medical, dental, and vision coverage
• Flexible paid time off
• Parental leave
• Retirement plan participation