At a Glance
- Tasks: Join a fast-paced team to develop cutting-edge software for IoT and cloud infrastructure.
- Company: Coram AI, a pioneering tech company transforming video security with AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Onsite role in London with a focus on collaboration and excellence.
- Why this job: Make a real-world impact by working on innovative AI solutions for security.
- Qualifications: 3+ years in AWS infrastructure, coding skills in Python or Go, and CI/CD experience.
The predicted salary is between 36000 - 60000 £ per year.
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 a small, 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.
About the job
At Coram AI, 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. Coram AI is looking for a talented engineer who 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. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup.
This involves:
- 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 …)
- Maximising developer productivity by streamlining development workflows
This is an onsite position based in London, UK.
Requirements and experience we are looking for:
- 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
Additional experience we consider as a bonus:
- Edge/IoT infrastructure (Yocto, IoT devices provisioning, over-the-air updates..)
- Remote management of on-prem infrastructure, or hybrid/multi-cloud.
- Maintaining SOC 2 compliance
- Building high-volume data-processing pipelines
- High intrinsic motivation to succeed and ability to work hard
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.
If you’re excited to work on mission-critical AI that makes an impact in the real world, we’d love to meet you.
Software Engineer - Infrastructure employer: Coram AI
At Coram AI, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our London-based team thrives in a fast-paced environment where every voice matters, and employees are empowered to contribute to meaningful projects that leverage cutting-edge AI technology. With a strong focus on professional growth, we offer ample opportunities for learning and development, ensuring that our engineers not only excel in their roles but also play a pivotal part in shaping the future of video security.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Infrastructure
✨Tip Number 1
Network like a pro! Reach out to current employees at Coram AI on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role there. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the technical interview by brushing up on your coding skills and understanding of AWS, Kubernetes, and IoT. Practice common coding challenges and system design questions that relate to infrastructure. We want you to shine!
✨Tip Number 3
Showcase your passion for AI and security in your conversations. Share any relevant projects or experiences that demonstrate your skills and enthusiasm for the field. Let them see how you can contribute to their mission!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Coram AI team. Let’s get you that interview!
We think you need these skills to ace Software Engineer - Infrastructure
Some tips for your application 🫡
Show Your Passion for AI and Security:When you're writing your application, let us know why you're excited about working in AI and video security. Share any personal projects or experiences that highlight your interest in these areas – it really helps us see your enthusiasm!
Tailor Your CV to the Job:Make sure your CV reflects the skills and experiences that match our job description. Highlight your experience with AWS, Kubernetes, and IoT devices, and don’t forget to mention any relevant projects you've worked on. We love seeing how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us your story! Explain why you want to join Coram AI and how your background makes you a great fit for the role. Keep it concise but impactful – we want to feel your excitement through your words!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company and culture!
How to prepare for a job interview at Coram AI
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Kubernetes, and IoT. Brush up on your experience with infrastructure as code tools like Pulumi or Terraform, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Coram AI values clarity and craftsmanship, so prepare to share specific examples of how you've tackled complex problems in your previous roles. Think about challenges related to edge and cloud infrastructure, and how your solutions made a meaningful impact.
✨Demonstrate Your Passion for Learning
This role is all about commitment to excellence and continuous learning. Be prepared to talk about how you stay updated with industry trends, new technologies, and best practices. Mention any relevant courses, certifications, or personal projects that showcase your drive to grow.
✨Prepare Questions About Their Mission
Show your enthusiasm for Coram AI's mission by preparing thoughtful questions about their approach to video security and AI. Ask about their current projects, future goals, and how they envision the role of a Software Engineer contributing to their vision. This will demonstrate your genuine interest in the company.
