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5 часов назад

Director of Platform Engineering

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
France/UK/US +8 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director of Platform Engineering (Platform, SRE & MLOps): Leading the evolution of core engineering foundations, developer tooling, cloud infrastructure, and machine learning operations for a scaling climate technology company with an accent on reliability, scalability, and developer productivity. Focus on designing mature platform standards, overseeing production ML lifecycle systems, and growing high-performing technical teams across multiple functions.

Location: Remote from the United States, Canada, United Kingdom, the Netherlands, Denmark, Estonia, France, Ireland, Portugal, Sweden, or Switzerland. Working hours must overlap with Europe (GMT/WET, CET, EET) or Eastern North America (NST, AST, EST).

Company

hirify.global uses AI and satellite imagery to identify vegetation risks near power lines, helping utilities prevent outages, reduce wildfire risks, and build a more resilient electrical grid.

What you will do

  • Own the platform strategy across Platform, MLOps, and SRE, aligning it with company and product goals.
  • Lead and grow senior individual contributors and, over time, managers across multiple teams.
  • Define the platform vision covering developer experience, internal tooling, CI/CD, infrastructure, observability, and reliability standards.
  • Oversee MLOps systems for model development, training, deployment, monitoring, and production governance.
  • Partner with Product, ML, Data, Security, and Compliance teams to meet current and future platform needs.
  • Set metrics and accountability for platform performance, reliability, and developer productivity while balancing speed, cost, and stability.

Requirements

  • 10+ years of experience leading platform, infrastructure, or reliability teams in a scaling startup environment.
  • Strong understanding of cloud-native infrastructure, Kubernetes, CI/CD, and modern DevOps practices; GCP is strongly preferred.
  • Experience supporting machine learning systems in production, including model deployment, monitoring, and lifecycle management.
  • Track record of building reliable, scalable systems for fast-moving product teams and experience with data- or ML-heavy products.
  • Strong people leadership, coaching, communication, and cross-functional influencing skills.
  • Must be living and working in one of the listed countries and able to work within the specified European or Eastern North American time zones.

Nice to have

  • Experience with geospatial data, image processing, or mapping technology.

Culture & Benefits

  • Flexible, autonomous, and collaborative remote working environment built on trust.
  • Home office stipend, coworking budget, and ongoing education budget.
  • Annual in-person team gathering and optional in-person collaboration.
  • Mission-driven work focused on reducing wildfires, protecting natural resources, and addressing climate change.
  • Inclusive culture centered on curiosity, diversity, care, trust, and climate action.

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