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Salary
$47k – $138k per year (Estimated)
Location
In office (London)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Coram AI is an artificial intelligence company that develops advanced AI-powered video security and surveillance software. Founded by engineers from Stanford and MIT, it integrates with existing IP cameras to provide real-time threat detection, automated alerts, and fast natural-language search across security footage. The platform serves commercial businesses, educational institutions, and enterprise facilities by transforming traditional physical security setups into proactive, intelligent monitoring systems.

At Coram AI, we’re reimagining video security for the modern world. Our cloud-native platform uses computer vision and AI to help businesses stay safe, make smarter decisions, and move faster; from real-time alerts to seamless clip sharing and multi-site visibility.

You’ll be joining an ambitious, fast-moving team that values clarity, craftsmanship, and impact. Every person here has a voice, ships meaningful work, and helps shape how AI can make the world safer and more connected.

The role:

The Infrastructure Software Engineer will be responsible for a large part of our edge and cloud stack underpinning our portfolio of IoT products - not just in terms of infrastructure, but also to build and maintain the custom in-house software that we use for these purposes. Our infrastructure isn’t just your typical cloud-only stack - in addition to the usual AWS and Kubernetes setup, we also control and remotely manage a large fleet of IoT devices

Responsibilities:

  • Writing and maintaining production-grade software code for our custom edge infrastructure stack

  • 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, both across our cloud applications and our edge devices

  • Helping maintain compliance with various security standards (SOC2, HIPAA, etc.)

  • Maximizing developer productivity by streamlining development workflows

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 Python, Go or any other modern programming language

  • Building CI / CD pipelines and automation of various parts of the stack

  • Self-hosting and maintaining observability tools such as Grafana/Prometheus

  • Edge/IoT infrastructure (Yocto, IoT devices provisioning, over-the-air updates, etc.)

  • Remote management of on-prem infrastructure, or hybrid/multi-cloud

  • Maintaining SOC 2 compliance

  • Building high-volume data-processing pipelines

  • Resilient in challenging and fast-paced environments

  • Exceptional written and verbal communication skills in English, with the ability to influence at all levels

  • Ability to work in an onsite environment

What we offer:

  • Flexible paid time off and paid holidays

  • Early-stage equity in a rapidly growing company

  • Referral bonuses

  • Regular team off-sites

  • The latest Apple products and unlimited tech stack (Claude Cowork, Perplexity Computer, Nooks, Clay, Instantly, etc.)

We're on a mission to transform a $50B+ legacy industry by bringing the power of cutting-edge multimodal LLMs and computer vision to real-world security and operations. From firearm detection to intelligent access control, our AI-native platform turns every camera and sensor into a smart system that enhances safety, efficiency, and awareness.

Founded by Ashesh Jain (ex-Lyft Level 5, PhD Cornell) and Peter Ondruska (ex-Lyft, PhD Oxford), Coram AI is backed by Ansa Capital, Battery Ventures, Mosaic, 8VC and Up Partners, have raised over $65M, and were named to the CB Insights AI 100 as one of the most promising AI companies in the world. If you're excited to work on mission-critical AI that makes an impact in the real world, we’d love to meet you.

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