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DigitalOcean

Runs cloud infrastructure for apps and AI

Senior Manager of Physical Infrastructure Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • A Bachelor of Science in Electrical, Mechanical, Chemical, or a related Engineering discipline, or equivalent practical experience.
  • At least 10 years of mission-critical engineering experience, including direct experience with data center infrastructure.
  • At least 5 years of experience leading engineering teams, including hiring, developing, and retaining senior technical talent.
  • At least 5 years of experience managing outsourced engineering teams.
  • Deep hands-on experience with liquid cooling systems, including chillers, heat exchangers, pumps, CDUs, secondary loop design, leak detection and mitigation, UPS, generators, switchgear, and controls and automation platforms.
  • Experience running or directly supporting root-cause analysis with OEMs on infrastructure component failures and translating vendor findings into engineering decisions, such as accepting, mitigating, or mandating replacement.
  • Working knowledge of relevant electrical, mechanical, and safety codes, including NFPA 70E and local electrical code, and experience partnering with Legal and EHS on compliance reviews.
  • Experience conducting technical due diligence on data center facilities, including colocation or build-to-suit facilities, before lease or construction commitment.
  • A track record of building engineering standards that scale across multiple sites and hold up under rapid, concurrent expansion.

Responsibilities

  • Lead and grow a multidisciplinary team covering electrical, mechanical, controls and automation, and data center infrastructure engineering and construction.
  • Develop and own engineering standards and specifications for AI/GPU data centers, including liquid cooling, power distribution, and controls and automation.
  • Serve as the technical authority and final engineering escalation point for infrastructure issues that Site Operations and Design and Deployment cannot resolve at their level.
  • Provide engineering due diligence on new colocation and build-to-suit facilities before signing, covering power capacity, cooling topology, electrical infrastructure condition, and expansion feasibility.
  • Own vendor and OEM infrastructure engineering relationships, drive root-cause engagements when infrastructure fails, and hold vendors accountable for design defects as well as field service.
  • Lead or sponsor root-cause analysis for infrastructure-driven incidents and own the resulting engineering corrective actions through verified completion.
  • Own infrastructure specifications, technical documentation, and change governance; changes at the infrastructure layer require engineering sign-off.
  • Partner with Site Operations, Deployment, Construction, and Design organizations to ensure engineering standards are practical to build and operate.
  • Track and report infrastructure reliability metrics across the fleet and prioritize engineering investment against the highest-risk and most recurrent failure modes.
  • Lead compliance review of infrastructure standards against relevant codes and safety requirements, including NFPA 70E, electrical code, and two-person energized work rules, in partnership with Legal and EHS.
  • Build and maintain an audit process to review existing sites against current engineering standards and prioritize remediation of out-of-compliance assets.
  • Manage outsourced engineering talent as needed to keep up with workload.
  • Develop engineering and construction talent on the team and build a succession plan for key technical authority roles.
  • Travel 20–30% for new-site due diligence, commissioning support, and vendor/OEM engineering reviews.

About the Company

DigitalOcean

Runs cloud infrastructure for apps and AI

DigitalOcean provides cloud infrastructure for developers and businesses to build, host and scale applications and AI services. Teams rent virtual machines called Droplets, store data and run managed databases or Kubernetes clusters through a web console and APIs. Its AI services supply GPU computing, model inference and managed environments where software agents use tools and retain information between sessions. Customers pay for the resources they use, with subscriptions and managed services helping teams run applications without maintaining all the underlying infrastructure themselves. DigitalOcean was founded in 2012 and is headquartered in Broomfield, Colorado.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Broomfield, CO
Founded
2012

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