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6 часов назад

Senior Technical Support Engineer (AI Platform)

Формат работы
remote (только Germany)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Technical Support Engineer (AI Platform): Owning end-to-end enterprise support for an AI and data science platform with an accent on Kubernetes infrastructure, ML workflows, cloud environments, and customer troubleshooting. Focus on diagnosing complex platform failures, writing actionable technical documentation, coordinating with Product and Engineering, and maintaining case continuity across global support regions.

Location: Remote Germany

Company

hirify.global builds software that helps AI-driven organizations develop and operate data science and AI solutions at scale through model development, MLOps, collaboration, reuse, and reproducibility capabilities.

What you will do

  • Own enterprise technical support cases from initial triage through resolution, maintaining clear communication and accurate expectations.
  • Diagnose Kubernetes and cloud infrastructure issues, including pod failures, resource limits, persistent volumes, RBAC, ingress, and cluster-level problems.
  • Troubleshoot ML platform failures involving workspaces, jobs, environment builds, model deployments, and data connectors.
  • File actionable bug reports and enhancement requests in Jira while representing customer needs to Product and Engineering.
  • Write and review knowledge base articles, how-to guides, and troubleshooting documentation.
  • Coordinate case handoffs across AMER, EMEA, and APAC, run live customer troubleshooting sessions, and participate in the EMEA weekend on-call rotation.

Requirements

  • 3–5 years of experience in enterprise technical support, solutions engineering, or a similar customer-facing technical role at a SaaS or data/AI platform company.
  • Hands-on Kubernetes experience with pod lifecycle management, kubectl, RBAC, namespaces, persistent volumes, and cluster troubleshooting.
  • Strong Linux and command-line skills, including log analysis, process management, filesystem navigation, and shell scripting.
  • Familiarity with Python-based ML workflows, including Jupyter, package management, model training, and model serving.
  • Experience with AWS, GCP, or Azure and containerized application environments.
  • Clear written communication, structured troubleshooting, time-sensitive case management, async collaboration across time zones, and a bachelor's degree in computer science, engineering, or a related field, or equivalent experience.

Culture & Benefits

  • Remote-first work in a globally distributed team.
  • Follow-the-sun support coverage across AMER, EMEA, and APAC.
  • Teaching and learning environment with tools and support for professional growth.
  • Growth mindset focused on continuous improvement, truth-seeking, and creative problem-solving.
  • Commitment to a diverse and inclusive workplace.

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