Join Coram AI as an Infrastructure Software Engineer to build and maintain a custom edge and cloud stack for IoT products.
Posted by employer 6 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Our AI-native platform enhances safety, efficiency, and awareness through multimodal LLMs and computer vision.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Infrastructure Software Engineer at Coram AI plays a crucial role in developing and maintaining the company's edge and cloud infrastructure for IoT products, focusing on production-grade software and resource management on AWS. Key skills include experience with infrastructure as code tools, Docker, Kubernetes, and programming languages like Python or Go. This position is ideal for someone with over three years of relevant experience who thrives in fast-paced environments and values impactful work. Coram AI is an early-stage company aiming to innovate in the video security space using advanced AI technologies.
Joblaze insights
Quick facts
From the original posting
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.