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# Automation Test Software Engineer

- **Company:** SII Services Limited
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Bluetooth, Cloud Computing, Computer Networks, Distributed Systems, Hardware Design, Hardware-In-The-Loop Simulation, Python (Programming Language), Machine Learning, Smart Devices, Software Construction, Software Engineering, Software Systems, TCP/IP, Wi-Fi Technology, Hardware Testing, Generative AI, Containerization, Information Technology, Docker
- **Published:** October 15, 2026
- **Apply:** https://sii-group.com/en-GB/job-application/23178?source=

## About the Role

The successful candidate will have strong Python development expertise and experience building automation solutions for hardware, embedded, or IoT-based systems., * Strong Python software development skills.

 * Experience designing and developing automated test frameworks.

 * Knowledge of hardware integration and device communication protocols.

 * Experience testing physical products, embedded systems, or IoT devices.

 * Strong understanding of software architecture, object-oriented design, and design patterns.

 * Experience with RESTful APIs, web services, and backend system integration.

 * Knowledge of automation infrastructure, test orchestration, and execution platforms.

 * Experience using source control systems such as Git.

 * Understanding of continuous integration and continuous delivery (CI/CD) practices.

 * Experience debugging complex hardware and software interactions.

 * Knowledge of Linux-based development and testing environments.

 * Experience with IoT device ecosystems and connected products.

 * Knowledge of networking concepts including TCP/IP, Wi-Fi, Bluetooth, and device provisioning.

 * Experience with embedded software validation and hardware-in-the-loop testing.

 * Familiarity with cloud platforms and distributed systems.

 * Experience developing automation for camera, sensor, consumer electronics, or smart device platforms.

 * Exposure to AI-assisted testing, machine learning validation, or Generative AI technologies.

 * Experience with containerisation technologies such as Docker and Kubernetes.

EXPERIENCE REQUIRED

 * Bachelor's degree in Computer Science, Software Engineering, Electronics Engineering, or a related technical discipline, or equivalent industry experience.

 * Commercial experience in software development using Python.

 * Proven experience building and maintaining automated testing frameworks.

 * Experience developing automation against physical hardware, embedded systems, or IoT devices.

 * Experience delivering production-quality software solutions following software engineering best practices.

 * Experience working with hardware test environments, laboratories, or device validation systems.

 * Experience integrating automation solutions into CI/CD pipelines.

 * Familiarity with Agile software development methodologies.

 * Experience collaborating within cross-functional engineering teams.

## Description

* Design, develop, and maintain end-to-end test automation frameworks using Python.

 * Create automation solutions that interact with and validate physical devices and hardware platforms.

 * Build reusable device abstraction layers, automation libraries, and testing utilities.

 * Develop scalable testbed infrastructure supporting automated execution across large device fleets.

 * Design and implement frameworks that support reliable and repeatable validation in laboratory and production environments.

 * Build and maintain APIs, web services, microservices, SDKs, and supporting backend services.

 * Develop monitoring, reporting, logging, and diagnostic capabilities within automation platforms.

 * Apply software engineering best practices including code quality standards, design patterns, modular architecture, and automated testing.

 * Collaborate closely with global engineering, software development, and quality teams.

 * Troubleshoot hardware, software, and automation issues across multiple environments.

 * Support continuous improvement initiatives for automation efficiency, scalability, and reliability.

 * Contribute to technical design reviews, architecture discussions, and process improvements.

 * Share knowledge and mentor team members to support engineering excellence.

 * Produce clear technical documentation and communicate effectively with stakeholders.