Senior Platform Engineer

Atarus; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Atarus, a UK-based AI company, is seeking a hands-on engineer to build and maintain the infrastructure powering a large AWS platform and a growing fleet of edge devices. You will contribute to production software, scale AWS and Kubernetes, and develop automation tooling.

You'll work on provisioning at scale, CI/CD pipelines, observability, and tooling to improve developer productivity, bridging cloud and edge environments with a strong emphasis on reliability and performance.

Qualifications

• Strong software engineering background with Python or Go.
• Experience building and operating infrastructure on AWS.
• Kubernetes and infrastructure-as-code expertise.

Responsibilities

• Build and maintain production software for a custom infrastructure platform.
• Scale AWS and Kubernetes environments.
• Manage provisioning and lifecycle management across large IoT deployments.
• Build CI/CD pipelines and automation tooling.
• Develop observability and telemetry systems across cloud and edge environments.
• Improve developer productivity through internal tooling and platform improvements.

Skills

Python

Go

AWS

Kubernetes

CI/CD

Automation

Observability

Job description

We're partnered with one of the UK's fastest-growing AI companies, building cloud-native video intelligence products deployed across thousands of connected devices globally.

This is a hands-on engineering role focused on building the infrastructure, tooling, and software that powers both a large-scale AWS platform and a rapidly growing fleet of edge devices.

What you'll be doing

• Building and maintaining production software for a custom infrastructure platform
• Scaling AWS and Kubernetes environments
• Managing provisioning and lifecycle management across large IoT deployments
• Building CI/CD pipelines and automation tooling
• Developing observability and telemetry systems across cloud and edge environments
• Improving developer productivity through internal tooling and platform improvements

What they're looking for

• Strong software engineering background with Python or Go
• Experience building and operating infrastructure on AWS
• Kubernetes and infrastructure-as-code expertise
• Experience with CI/CD, automation, and observability
• Interest in distributed systems, edge computing, and infrastructure at scale

Why it's worth a look

• AI company with strong commercial traction and significant funding
• Blend of software engineering, platform engineering, and infrastructure
• Complex technical challenges across cloud and edge environments
• High ownership and influence within a small engineering team