Infrastructure Engineer

About Us


Coram AI is an early-stage, fast-growing startup. Leading U.S. businesses, including Fortune 500 companies, are customers of the Coram AI software platform. We are bringing the latest advances in Generative AI to physical security, a massive industry dominated by incumbents. Coram AI works with any existing IP camera and adds AI to it within minutes. We are enabling customers to deploy thousands of cameras across the U.S.


The team behind Coram AI comprises serial entrepreneurs and technology leaders who have spent more than a decade building self-driving cars at institutions like Stanford University, Oxford University, Zoox, and Lyft.

The Role


We are looking for a talented Infrastructure engineer who will be responsible for a large part of our edge and cloud stack underpinning our portfolio of IoT products.


This involves:

  • Provisioning and maintaining resources running on AWS.
  • Building provisioning and management across hundreds of thousands of connected IoT devices deployed in the field.
  • Building CI and CD and automation pipelines for various parts of the stack.
  • Building observability and telemetry.
  • Helping maintain compliance with various security standards (SOC2, HIPAA).
  • Maximizing developer productivity by streamlining development workflows.
  • This is a 5-days a week in-office role.


Skills and Qualifications


  • 3+ years of experience writing production infrastructure running on AWS using infrastructure as code tools, such as Pulumi or Terraform.
  • Experience with Docker and Kubernetes (particularly EKS)
  • 3+ years of experience with either Python or Go.
  • Building CI / CD pipelines and automation of various parts of the stack.
  • Self-hosting and maintaining observability tools such as Grafana/Prometheus.
  • It would be great if you also have experience with one or more
    • Edge/IoT infrastructure (Yocto, IoT devices provisioning, over-the-air updates..).
    • Remote management of on-prem infrastructure.
    • Maintaining SOC2 compliance.
    • Building high-volume data-processing pipelines.
  • High intrinsic motivation to succeed and ability to work hard.


Benefits

  • Company equity % in an early-stage startup
  • 100% company-paid private Dental & Vision insurance

The pay range for this role is:

80,000 - 120,000 GBP per year (London)

Engineering

London, United Kingdom

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