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Описание вакансии
Текст:
TL;DR
Foundry Support Desk Engineer (Palantir Foundry): Providing first-line technical support for Foundry platform users and resolving Spark- and pipeline-level issues with an accent on platform architecture, investigation, and cross-team escalation. Focus on building documentation, monitoring, and reporting systems, identifying systemic failures, and improving users’ ability to operate Foundry independently.
Location: London, United Kingdom; remote-first culture with flexible workplace options.
Company
Nscale provides high-performance GPU cloud infrastructure for AI start-ups and enterprise customers.
What you will do
- Own first-line triage and end-to-end resolution for Foundry support requests.
- Investigate Foundry issues at the Spark, data pipeline, and platform architecture levels.
- Escalate complex issues to Use Case Leads, Data Source Developers, technical teams, and Palantir support with clear context and reproduction steps.
- Create and maintain technical documentation, runbooks, FAQs, onboarding materials, and training resources.
- Develop monitoring and reporting systems for support volumes, resolution times, and recurring failures.
- Identify systemic issues and collaborate with development teams on root-cause resolution.
Requirements
- Strong understanding of Foundry business workflows, technical structures, and concepts.
- Strong knowledge of Spark, data pipelines, and platform architecture.
- Experience building and using reporting and monitoring systems for support services.
- Strong investigative, problem-solving, and written communication skills.
- Ability to create clear technical documentation and support workflows.
- Ability to communicate effectively with technical and non-technical stakeholders.
Culture & Benefits
- Collaborative, supportive, and innovative work environment.
- Competitive base salary and equity package with reviews every 12 months.
- Flexible workplace with autonomy over the working day.
- Remote-first culture with virtual collaboration across locations.
- Career progression plan tailored to individual ambitions.
- Opportunity to work on AI infrastructure and cutting-edge GPU cloud technology.
Hiring process
- Interview stages and further process details are shared by the Talent Acquisition team.
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