At a Glance
- Tasks: Develop and maintain cutting-edge software for IoT infrastructure and cloud services.
- Company: Join Coram AI, a pioneering tech company transforming video security with AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Be part of a small team that values clarity, craftsmanship, and collaboration.
- Why this job: Make a real-world impact by working on innovative AI solutions in a fast-paced startup.
- Qualifications: 3+ years of experience in AWS, Python, and infrastructure as code tools.
The predicted salary is between 36000 - 60000 £ per year.
At Coram AI, we are 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
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. We are 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 are 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 are excited to work on mission-critical AI that makes an impact in the real world, we would love to meet you.
Software Engineer - Infrastructure in London 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 on tackling complex challenges at the forefront of AI and IoT technology, offering ample opportunities for professional growth and development. With a commitment to excellence and a focus on meaningful contributions, every employee plays a vital role in shaping the future of video security while enjoying the benefits of working in a dynamic startup environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - Infrastructure in London
✨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
Show off your skills! If you’ve got a GitHub or personal project that showcases your work with AWS, Kubernetes, or IoT devices, make sure to highlight it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical challenges! Brush up on your coding skills and be ready to tackle some real-world problems during the interview process. Practice common algorithms and system design questions to impress the team.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from passionate candidates. Make sure to tailor your application to reflect how your skills align with Coram AI's mission and values.
We think you need these skills to ace Software Engineer - Infrastructure in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AWS, Kubernetes, and any relevant programming languages like Python or Go. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Explain why you're excited about working at Coram AI and how your background aligns with our goals. Let us know what makes you tick!
Showcase Your Projects:If you've worked on any interesting projects related to IoT, cloud infrastructure, or automation, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
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 shows us you’re serious about joining our team!
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 specific projects where you've used these technologies.
✨Showcase Problem-Solving Skills
Coram AI values clarity and craftsmanship, so prepare to share examples of how you've tackled complex problems in previous roles. Think about challenges you've faced in building CI/CD pipelines or managing IoT devices, and be ready to explain your thought process and the impact of your solutions.
✨Demonstrate Your Passion for AI and Security
Since Coram AI is focused on transforming video security through AI, express your enthusiasm for this field. Share any relevant projects or experiences that highlight your interest in machine learning and how it can enhance safety and efficiency in real-world applications.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the team dynamics, company culture, and future projects. This shows your genuine interest in the role and helps you assess if Coram AI is the right fit for you.
