Software Engineering Manager (Test & Devops)

About the role

At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.

THE ROLE:

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.

At CoMind, all team members work at least 4 days per week in the office, plus a flexible work-from-home day. This role is based in our London (Kings Cross) office.

RESPONSIBILITIES:

- 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.