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# Software Engineering Manager (Test & Devops)

- **Company:** CoMind
- **Location:** London, UK (Remote available)
- **Experience:** Experienced
- **Salary:** £93,681.0 - £131,482.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Microsoft Azure, C++ (Programming Language), CMake, Continuous Integration, DevOps, Linux on Embedded Systems, Graphical User Interface, Hardware Compatibility (Software Requirements), Hardware-In-The-Loop Simulation, Python (Programming Language), Release Management, Prometheus, Software Engineering, Datadog, Cloud Platform System, Real Time Systems, Grafana, Build Management, Yocto, Build Tools, Machine Learning Operations, Terraform, Data Pipelines
- **Published:** August 3, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5825869854

## About the Role

* 10+ years of progressive experience in software, DevOps, or test engineering, with at least 3 years in an engineering management or team lead role
 * Proven experience leading and growing DevOps, test, platform, or infrastructure teams
 * Strong hands-on background in CI/CD, build systems, and test automation for embedded and/or cloud systems
 * Experience with embedded Linux build and deployment, ideally Yocto-based BSPs, or a strong equivalent
 * Experience architecting scalable test infrastructure spanning embedded hardware and cloud-side data pipelines
 * Experience delivering in a regulated industry (medical devices, aerospace, automotive, or similar), with working knowledge of IEC 62304 and ISO 14971
 * Advanced Python and C/C++, with experience of infrastructure-as-code and at least one major cloud provider (AWS, GCP, or Azure)

Nice to have:

 * Experience with hardware-in-the-loop or software-in-the-loop test environments
 * Exposure to MLOps, including model drift validation, dataset governance, and automated performance evaluation and deployment of organisational AI strategy
 * Experience with cybersecurity requirements (e.g. IEC 81001-5-1, FDA cybersecurity guidance) and SOUP management
 * Experience managing complex build environments (CMake, Conan, Ceedling) or cloud-native infrastructure-as-code (Terraform, CDK)
 * Familiarity with observability tooling such as Grafana and Prometheus

## Description

The Software team at CoMind spans the full stack of a regulated medical device company - from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that has to perform reliably in clinical environments.

This is a people-first leadership role. You will manage and develop a team of test and DevOps engineers, set priorities and development plans, and drive performance, while staying hands-on in the technical direction., * Manage and mentor a team of DevOps and test engineers, setting priorities, individual development plans, conducting performance reviews, and maintaining a high standard of engineering practice

 * Own the CI/CD strategy and build and release infrastructure across the software stack, including the multi-device test fleet, pipeline reliability, and artifact management
 * Own the Yocto-based embedded Linux platform build and deployment, including the signed software update mechanism with rollback, hardware compatibility checks, and image integrity and authenticity
 * Lead architecture reviews, perform proofs-of-concept for new infrastructure tools, and contribute directly to codebases where high-level technical hurdles require expert intervention.
 * Define and drive the software V&V and test automation strategy, building infrastructure for continuous validation and championing design for testability across the engineering stack
 * Establish compliance-as-code workflows that map verification evidence to IEC 62304 (Class C) and ISO 14971 risk controls, maintain the high-bar for engineering excellence in a regulated safety-critical environment and automate regulatory evidence generation to reduce time to submission
 * Own cloud-side data pipelines and infrastructure-as-code, supporting data ingest, analysis, and MLOps workflows where required
 * Coordinate cybersecurity workstreams, working closely with IT and QARA teams
 * Partner with the Software Engineering Manager on release processes, branching strategy, and automated quality gates
 * AI is fundamental to our culture - it's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively.


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