Full-Time

Infrastructure Lead

Enterprise Engineering

Confirmed live in the last 24 hours

DeepMind

DeepMind

1,001-5,000 employees

Develops artificial general intelligence systems

AI & Machine Learning
Biotechnology

Compensation Overview

$168k - $266kAnnually

+ Bonus + Equity + Benefits

Senior

Mountain View, CA, USA

Category
DevOps & Infrastructure
Platform Engineering
Cloud Engineering
Required Skills
Bash
Python
Puppet
Ansible
Google Cloud Platform
Requirements
  • Prior experience in a role accountable for information security of fleet
  • Solid knowledge of systems and networking software, hardware, and networking protocols
  • Expertise in implementing and effectively helpdesk and IT operations practices, including substantial knowledge of security, storage, data protection, and disaster recovery protocols
  • Possess a logical approach to troubleshooting, and ability to analyse network behaviors using packet capture and inspection tools
  • Experience working with fibre based infrastructure (MTP/MPO)
  • Experience with scripting and automation tools such a python, bash, ansible, puppet
  • You have a deep understanding of cloud technologies, specifically Google Cloud and have experience deploying cloud services
  • Ability to work effectively at all levels in an organization, and collaboratively as part of a team
  • Line management / mentorship experience
  • You are excited to push the boundaries of technologies, identifying gaps in technology and working with equipment manufacturers to fill them!
Responsibilities
  • Accountable for the security of non-corporate systems across Google DeepMind, ensuring the security and integrity of sensitive research data and intellectual property.
  • Design, maintain, and optimize our virtualization stack, both on-premises and remote, to provide researchers with flexible and scalable computing environments
  • Lead the Design, deployment and maintenance of OS & security patching infrastructure, and configuration management infrastructure
  • Drive technological innovation: Proactively identify emerging technologies and collaborate with vendors to implement solutions that anticipate and meet the future needs of our research teams.
  • Manage site upgrades, ensuring minimal disruption and maintaining operational stability for our critical research infrastructure.
  • Partner with research teams on an ad hoc basis to understand their unique needs and provide tailored support
  • Ensure facility documentation is up to date, accurate and accessible, fostering a culture of transparency and collaboration.
  • Lead with innovative solutions: Apply your technical expertise and project management skills to tackle complex challenges, taking ownership and driving impactful solutions.
  • Ensure high availability and quality of service across all research facilities through proactive monitoring, preventative maintenance, and rapid incident response.

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

Company Stage

Acquired

Total Funding

$4.9M

Headquarters

London, United Kingdom

Founded

2010

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven drug discovery is booming with DeepMind's Isomorphic Labs collaborations.
  • AlphaFold model advancements accelerate scientific discoveries in biology and medicine.
  • Lyria, DeepMind's AI music model, transforms music creation and experimentation.

What critics are saying

  • Emerging AI models beyond Transformers may challenge DeepMind's strategies.
  • Backlash against Gemini AI highlights reputational risks for DeepMind's models.
  • Meta's AI content labeling pressures DeepMind to adopt similar measures.

What makes DeepMind unique

  • DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.
  • DeepMind's AlphaCode 2 advances competitive programming using the Gemini model.
  • GraphCast by DeepMind offers rapid ten-day weather forecasts, revolutionizing meteorology.

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