Full-Time

Infrastructure Engineer

Posted on 4/4/2024

DeepMind

DeepMind

1,001-5,000 employees

Develops artificial general intelligence (AGI) systems

AI & Machine Learning

Junior, Mid, Senior

London, UK

Requirements
  • Prior experience in a role accountable for information security
  • 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
  • Good understanding of cloud technologies, specifically Google Cloud and experience deploying cloud services
  • Ability to work effectively at all levels in an organization, and collaboratively as part of a team
  • Excited to push the boundaries of technologies, identifying gaps in technology and working with equipment manufacturers to fill them!
Responsibilities
  • Accountable for security of non-corporate systems
  • Designing, maintaining and supporting virtualization stack both on-prem & remote
  • Design / Deploy & Maintain OS & security patching infrastructure
  • Design / Deploy & Maintain configuration management infrastructure
  • Identifying and bridging technology gaps and working with suppliers to resolve, near and long term
  • Managing site upgrades to ensure operational stability
  • Supporting ad-hoc requirements from research teams
  • Ensure facility documentation is up to date, accurate and accessible
  • Generate the ideas required to solve ambiguous problems, and take full ownership of the solution through strong project management skills
  • Ensure uptime and QOS across facilities by designing and implementing both proactive and reactive support processes

Google DeepMind specializes in developing artificial general intelligence (AGI) systems. They apply their technologies in diverse and challenging domains like diagnosing eye diseases, improving energy efficiency in data centers, and predicting protein shapes for potential drug discoveries. Their workforce excels in leveraging advanced AI algorithms and machine learning methods, providing a rich environment for innovation and growth in AI research and applications. This gives employees unique opportunities to work at the forefront of technological advancements within a culture dedicated to solving complex global challenges.

Company Stage

M&A

Total Funding

$503.3M

Headquarters

, United Kingdom

Founded

2010

Growth & Insights
Headcount

6 month growth

22%

1 year growth

77%

2 year growth

77%