Job Description
I am looking for an experienced Infrastructure Engineer to join a high-growth technology company working at the intersection of AI, cloud systems, and connected devices.
This is a London-based role requiring 5 days per week in the office, so it would suit someone who enjoys working closely with a team in a fast-paced, collaborative environment.
In this role, you will play a key part in building and scaling a hybrid infrastructure that spans both cloud environments and a large fleet of edge devices deployed in the field. This is not a typical cloud-only position - you will be working on complex, real-world systems that require reliability, scalability, and strong engineering fundamentals.
A core part of this role involves hands-on software development, and I am specifically looking for someone with around 5 years of experience developing in Python, ideally within infrastructure, platform, or distributed systems environments.
You will be responsible for developing and maintaining production-grade infrastructure, improving deployment pipelines, and ensuring high levels of observability across distributed systems. There is also a strong focus on automation, developer productivity, and maintaining secure, compliant systems.
Key responsibilities include:
* Developing and maintaining infrastructure across AWS and hybrid environments
* Writing production-grade software in Python to support infrastructure and platform systems
* Managing large-scale deployments of connected devices
* Building and improving CI/CD pipelines and automation workflows
* Implementing observability and monitoring solutions across cloud and edge systems
* Supporting security and compliance initiatives
* Enhancing developer workflows and system reliability
To be successful in this role, you should have strong experience working with modern cloud infrastructure and infrastructure-as-code tools, alongside approximately 5 years of hands-on Python development experience. Experience with containerisation and orchestration technologies like Docker and Kubernetes is essential.
Exposure to IoT or edge environments, high-scale data systems, or compliance frameworks such as SOC 2 is beneficial but not required.
This opportunity offers the chance to take ownership of meaningful systems, work on technically challenging problems, and contribute to a product with real-world impact in a fast-paced environment.