Foundry Support Engineer (Remote, Equity)

AI Startups UK

Greater London

Hybrid

GBP 42,000 - 60,000

Full time

14 days+

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Benefits offered by this job

Equity
Remote-first culture
Career progression
Flexible hours

Job summary

Nscale is seeking a Support Desk Engineer to own Foundry platform support, acting as the first triage point for all requests and ensuring the organisation can operate Foundry with confidence. You’ll diagnose issues at the Spark and pipeline level, escalate when deeper domain knowledge is required, and build documentation to reduce recurring queries while improving user proficiency.

The role requires deep Foundry and Spark knowledge and strong communication with both developers and non-technical

Qualifications

  • Deep understanding of Foundry and Spark.
  • Experience building monitoring and reporting systems for support.
  • Ability to communicate complex technical issues clearly.

Responsibilities

  • Serve as the first triage point for Foundry support requests.
  • Investigate and resolve Foundry issues using Spark and pipelines.
  • Escalate to Use Case Leads, Data Source Developers, and technical teams as needed.
  • Build and maintain documentation, runbooks, and FAQs for self-service support.
  • Develop monitoring and reporting systems to track support metrics.
  • Identify systemic issues and drive root-cause fixes with development teams.
  • Contribute to onboarding and training materials to boost Foundry proficiency.

Skills

Foundry knowledge
Spark expertise
Data pipelines
Platform architecture
Investigative mindset
Strong communication
Documentation skills
Cross-functional collaboration

Tools

Palantir Foundry
Spark

Job description

Nscale is seeking a Support Desk Engineer to own Foundry platform support, acting as the first triage point for all requests and ensuring the organisation can operate Foundry with confidence. You’ll diagnose issues at the Spark and pipeline level, escalate when deeper domain knowledge is required, and build documentation to reduce recurring queries while improving user proficiency.

The role requires deep Foundry and Spark knowledge and strong communication with both developers and non-technical

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