Infrastructure Engineer England, United Kingdom

We are seeking an Infrastructure Engineer to help ensure our internal infrastructure is running smoothly and enabling our team to train, build, test and release our AI models to customers quickly.

You will be part of a supportive Infrastructure team, who are responsible for managing our internal infrastructure and data centre. The Infrastructure team maintain the physical, network and hypervisor layers internally. On top of these they also administrate many of Engineering’s core internal services such as Gitlab and build system runners, artifact stores and secret stores.

This is a great opportunity to work across the stack from physically racking the latest Nvidia GPU servers, to deploying shared services onto bare metal Kubernetes clusters. You will be able to drive real business impact by improving internal infrastructure efficiency and reliability, enabling every engineer in Speechmatics to deliver value to our customers.

• Leading the end-to-end hardware lifecycle of networking, CPU compute and GPU training hardware, such as the Nvidia DGX platform
• Managing data centre operations day-to-day, ensuring that all maintenance tasks are performed proactively, including hardware monitoring and troubleshooting, disaster recovery testing and generally keeping our hardware up and running
• We are heavy users of infrastructure as code and automation, so you will be working with PXE booting to provision nodes you have racked, Ansible for configuration, Terraform for VMware deployments and Helm for Kubernetes deployments
• Troubleshooting systems using observability tooling and your knowledge of Linux
• Configuring our network switch devices, ensuring DNS/DHCP/IPAM is maintained
• Vendor coordination and collaboration - you'll lead relationships with hardware vendors, managed service providers, Smart Hands and other external contacts to drive improvements to our infrastructure

• Experience working in a data centre environment
• Experience with networking configuration and troubleshooting
• You're comfortable with troubleshooting Linux systems - we use Ubuntu
• Experience with configuration management tooling - we use Terraform and Ansible a lot
• Experience with bare metal provisioning - we use PXE booting to automate hardware OS installs
• You have broad knowledge of the infrastructure that supports an application in a distributed system
  -e.g.operating systems, observability tooling, networking, storage, databases, monitoring, cloud providers, containers, container orchestration tools
• You document your actions so you and others can repeat them and eventually automate them
• You like to go deep into any subject when required as you love learning on the job
• You have excellent written and verbal communication - you know when to go synchronous and when to go async

We encourage you to apply even if you do not feel you match all of the requirements exactly. The list of requirements is intended to show the kinds of experience and qualities we’re looking for, but it is not exhaustive. If you are interested in the role, the team, and our mission, we would love to consider your application. We are always open to conversations and look forward to hearing from you.

Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective of their industry or use case – making it the go-to solution to harness useful information from speech.

Joining us means working with some of the smartest minds around the world, focused on cutting-edge projects and deploying the latest techniques to disrupt the market. We believe in putting people first; we’ll do all we can to help you develop your skills and give you the tools you need to thrive. Our Focus Fridays give you an undisturbed day of focus, offset with Together Tuesdays when we have our team meetings, so you've always got the right balance.

We have structured a hybrid approach that includes 2-3 designated office days each week. This arrangement ensures that while we…