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CoMind

Non-invasive neuromonitoring devices for neurology

Software Engineering Manager - Test & DevOps

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • At least 10 years of progressive experience in software, DevOps, or test engineering, including 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 continuous integration and continuous delivery (CI/CD), build systems, and test automation for embedded and/or cloud systems.
  • Experience with embedded Linux build and deployment, ideally Yocto-based board support packages (BSPs), or a strong equivalent.
  • Experience architecting scalable test infrastructure spanning embedded hardware and cloud-side data pipelines.
  • Experience delivering in a regulated industry such as medical devices, aerospace, automotive, or similar, with working knowledge of IEC 62304 and ISO 14971.
  • Advanced Python and C/C++, experience with infrastructure-as-code, and experience with at least one major cloud provider: AWS, GCP, or Azure.

Responsibilities

  • Manage and mentor a team of DevOps and test engineers by setting priorities and 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 verification and validation (V&V) and test automation strategy, build infrastructure for continuous validation, and champion 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 engineering standards 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 ingestion, 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.
  • Embrace AI in daily work and continuously find new ways to use it effectively.

Desired Qualifications

  • 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 such as IEC 81001-5-1 and FDA cybersecurity guidance, and SOUP management.
  • Experience managing complex build environments such as CMake, Conan, and Ceedling, or cloud-native infrastructure-as-code such as Terraform and CDK.
  • Familiarity with observability tooling such as Grafana and Prometheus.

About the Company

CoMind

Non-invasive neuromonitoring devices for neurology

CoMind develops non-invasive neuromonitoring devices and neural interfaces for clinicians to measure a wide range of brain signals. Its systems use sensors or wearables and accompanying software to capture, interpret, and display neurophysiological data to support diagnosis and treatment. The company differentiates itself by emphasizing non-invasive, broad signal monitoring and by collaborating closely with doctors to tailor tools for hospital and research use, backed by a cross-disciplinary team and global distribution. Its goal is to improve patient outcomes by making advanced brain-monitoring tools practical, accessible, and continually refined for clinicians worldwide.

Company size
51-200
Company stage
Series A
Total funding
$96.9M
Headquarters
London, United Kingdom
Founded
2018

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