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Jobs/Remote (United States)/Principal Engineer, Compute Fleet Management
Remote (United States), US

Principal Engineer, Compute Fleet Management

# -725 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems β€” from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our custo

Company
Databricks
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

# -725 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems β€” from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our custo Requirements: - Leading Transformative Projects: Taking ownership of complex, cross-team, cross-layer, and multi-quarter strategic engineering initiatives from concept to execution. - Distributed Systems Mastery: Deep, hands-on experience developing and operating high-scale distributed systems on at least one major public cloud. - Influence Without Authority: Proven ability to drive consensus, establish technical direction, and lead large technical efforts across organizational boundaries. - Execution Discipline: Exceptional strength in planning, tracking project progress, and managing complex cross-organizational dependencies. - Experience managing and scaling a massive fleet of GPUs for AI/ML workloads. - Experience with developing and operating large-scale distributed systems across all major clouds (AWS, Azure, and GCP). Company context: Databricks is the data and AI lakehouse platform used by the world's largest enterprises for analytics, ML, and generative AI.

Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • Leading Transformative Projects: Taking ownership of complex, cross-team, cross-layer, and multi-quarter strategic engineering initiatives from concept to execution.
  • Distributed Systems Mastery: Deep, hands-on experience developing and operating high-scale distributed systems on at least one major public cloud.
  • Influence Without Authority: Proven ability to drive consensus, establish technical direction, and lead large technical efforts across organizational boundaries.
  • Execution Discipline: Exceptional strength in planning, tracking project progress, and managing complex cross-organizational dependencies.
  • Experience managing and scaling a massive fleet of GPUs for AI/ML workloads.
  • Experience with developing and operating large-scale distributed systems across all major clouds (AWS, Azure, and GCP).
UpJobz market context

Why this listing is more than a copied job post.

Principal Engineer, Compute Fleet Management is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.

United States tech market

United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.

Compensation read

The employer source does not expose a reliable salary range, so candidates should ask for compensation early instead of waiting until late-stage interviews.

Work authorization read

Current extracted signal: Open to TN, H-1B, and OPT candidates already in the United States. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.

Location read

Because this is remote, country scope and time-zone expectations matter as much as the title. Confirm the employer's allowed work locations on databricks.com.

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Subscriber playbook

Turn this listing into an application plan.

This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.

Next moves

  • Tailor your resume around ai and machine-learning instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to principal engineer, compute fleet management is a high-signal on-site role in remote (united states), and it is most realistic for open to tn, h-1b, and opt candidates already in the united states.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Cloud and DevOpsRemoteaimachine-learningawsgcp

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
  • Lead with distributed collaboration, async delivery, and timezone discipline.
Role signals

Keywords to match against your background

Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.

aimachine-learningawsgcpazuresecuritydataplatformsparkmlscalapython
Next step

Apply through the employer source

Open the source listing from databricks.com, confirm the role is still active, then apply on the employer or ATS page.

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Source: databricks.com Β· Source ID: 8334738002 Β· Confidence: 93/100 Β· Last checked: May 7, 2026

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