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: Enjoy flexible time off, early-stage equity, and the latest tech tools.
- Other info: Be part of a dynamic team with excellent growth opportunities and regular team off-sites.
- Why this job: Make a real-world impact with innovative AI solutions in a fast-paced environment.
- Qualifications: 3+ years in AWS, Docker, Kubernetes, and modern programming languages like Python or Go.
The predicted salary is between 60000 - 80000 £ 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 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 Battery Ventures, Mosaic, and 8VC, have raised over $30M, 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.
Infrastructure Software Engineer in London employer: Coram AI
At Coram AI, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team is empowered to make impactful contributions while enjoying flexible paid time off, early-stage equity opportunities, and access to the latest technology. With a focus on employee growth and regular team off-sites, we create an environment where every voice is heard and valued, making it an exciting place to advance your career in the cutting-edge field of AI and video security.
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Coram AI. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to cloud infrastructure and IoT. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by understanding Coram AI’s mission and products. Be ready to discuss how your experience aligns with their goals, especially around AI and video security. It shows you’re genuinely interested!
✨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 proactive and serious about joining the team at Coram AI.
We think you need these skills to ace Infrastructure Software Engineer 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 relevant projects, whether personal or professional, make sure to mention them. We love seeing real-world applications of your skills, especially in IoT or cloud infrastructure. Share links or descriptions that demonstrate your expertise!
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 keen on 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 any infrastructure as code tools like Pulumi or Terraform. Brush up on your Python or Go skills too, as you'll likely be asked to demonstrate your coding abilities.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around building CI/CD pipelines or managing IoT devices. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Mission
Familiarise yourself with Coram AI's mission and how their technology is transforming video security. Be ready to discuss how your skills can contribute to their goals and why you're passionate about working in AI and security.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects, team dynamics, or how they measure success in the Infrastructure Software Engineer position. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.