Software engineer in infrastructure observability

Nebius

United States

Remote

USD 140,000 - 200,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation
Career growth & learning
Flexibility and ownership
International environment
Impactful AI projects

Job summary

Nebius Group ищет опытного инженера-программиста для разработки сервисов и агентов, обеспечивающих глубокую видимость серверного флота и DC-операций. Вы будете развивать пайплайны метрик и автоматизацию, участвовать в инцидентах и помогать команде в дизайне надежных распределенных систем.

Требуется 5+ лет опыта, отличное владение Python и Go, уверенное владение Linux и английский язык. Международная среда и возможность влиять на крупные AI-проекты обещают значимый рост и ответственность.

Qualifications

  • 5+ лет опыта в профессиональной разработке ПО.
  • Отличное знание Python и Go; уверенное владение Linux.
  • Умение писать надежный код и разбираться в сложных задачах.
  • В рабочем владении английский язык; опыт работы в международной среде.

Responsibilities

  • Проектировать и разворачивать сервисы и агенты для мониторинга большого числа серверов и систем DC.
  • Эволюция пайплайнов метрик/агрегации/оповещений, повышение качества сигналов.
  • Разрабатывать процедуры обслуживания и автоматизацию для поддержания Fleet.
  • Участвовать в инцидентах hands-on и проводить root-cause анализ.
  • Сотрудничать с аппаратной, сетевой и DC-операциями для повышения надежности.

Skills

5+ лет опыта
Python
Go (Golang)
Linux
Английский
Архитектурное мышление
Управление проектами
Mentoring/наставничество
Hiring/interviews

Tools

Prometheus
VictoriaMetrics
Distributed systems

Job description

Описание

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Задачи
  • Design and develop services and agents that provide deep visibility into a large server fleet and DC engineering systems
  • Evolve our metrics/aggregation/alerting pipelines and improve signals quality
  • Build maintenance workflows and automation that keep fleets healthy
  • Investigate incidents hands-on (including on-host debugging) and drive root-cause fixes
  • Collaborate with hardware, networking, and DC operations to improve reliability
Требования
  • 5+ years of professional software engineering experience
  • Excellent knowledge of Python and Golang or you are ready to quickly switch to these programming languages
  • Strong Linux fundamentals
  • Ability to write reliable code and and dig into complex problems
  • Working proficiency in English
  • Manage large-scale projects involving multiple stakeholders
  • Break down complex tasks and guide both their own work and that of more junior colleagues
  • Be experts in specific technologies and write high-quality code that can serve as a reference
  • Assess task priority and focus on high-impact work, avoiding low-value efforts
  • Have strong architectural thinking and contribute to system design
  • Be involved in hiring and actively contribute to interviews
  • Be willing to share knowledge and mentor others
  • Будет плюсом: Solid understanding of modern server architecture, and its components
  • Experience with metrics/monitoring/alerting Prometheus-compatible stacks (like VictoriaMetrics)
  • Good knowledge of computer networks
  • Experience designing, developing, and running high-load distributed systems
Условия
  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams
  • Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
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