Назад
14 дней назад

Principal Observability Platform Engineer (AI)

190 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Observability Platform Engineer (AI): Building and directing an observability platform for GPU clusters, AI workloads, and supporting infrastructure with an accent on metrics, logs, traces, alerting, and scalable data architecture. Focus on designing high-volume ingestion and retention systems, improving failure diagnosis, and embedding observability across SRE, infrastructure, and AI/ML engineering.

Location: US

Salary: $190,000–$300,000 USD base salary per year, with potential bonus, equity, and/or commission eligibility.

Company

Nscale provides high-performance GPU cloud infrastructure for AI startups and enterprise customers.

What you will do

  • Own the technical strategy and architecture for observability across metrics, logs, traces, and alerting at scale.
  • Define tooling, data models, ingestion patterns, retention policies, and cardinality-management strategies.
  • Design platforms that identify systemic gaps, make failures visible, and accelerate diagnosis.
  • Partner with SRE, infrastructure, and AI/ML teams to embed observability into engineering and operations.
  • Establish engineering standards, evaluate observability tooling, and lead durable improvements from incident postmortems.
  • Mentor and technically grow the observability team while raising engineering standards across the organization.

Requirements

  • 8+ years of experience in SRE, infrastructure engineering, platform engineering, or observability-focused roles.
  • Experience operating observability infrastructure at significant scale and designing for 10x growth.
  • Deep hands-on experience with a significant subset of Prometheus, Thanos, VictoriaMetrics, Grafana, Loki, Tempo, OpenTelemetry, ClickHouse, or Elastic.
  • Strong engineering fundamentals and proficiency in Python, Go, or a similar language, with end-to-end ownership of complex systems.
  • Experience with Kubernetes at scale and Infrastructure-as-Code using Terraform, Ansible, or an equivalent tool.
  • Ability to architect systems, write and review code, explain trade-offs, and influence teams without direct authority.

Nice to have

  • Experience with high-volume observability streaming pipelines using Kafka, Vector, Fluent Bit, or similar tools.
  • Background in AI/ML infrastructure observability, including GPU utilization, training-job visibility, and inference latency.
  • Familiarity with GPU infrastructure or HPC environments such as Slurm.
  • Experience defining observability strategy at the organizational level.

Culture & Benefits

  • Culture centered on innovation, ownership, accountability, openness, and transparency.
  • Medical, dental, and vision benefits.
  • Flexible paid time off and parental leave.
  • Retirement plan participation.
  • Potential bonus, equity, and/or commission programs in addition to base salary.

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