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Cloud Architect - Medical Technology Development

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Hypervision Surgical
Full Time position
Listed on 2026-03-15
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer, Cloud Computing, Data Engineer
Job Description & How to Apply Below
Location: Greater London

The Role

The Role

We areseekinga senior, hands-on cloud architect to lead the design, development and delivery of our cloud connected data infrastructure. This role will shape the rollout of a cloud platform connecting

Hypervision’sedge devices deployed in operating rooms withsecure cloud infrastructure, enabling:

  • reliable clinical operation and maintenance of SaMD systems deployed at customer sites;
  • regulatory and information governance compliant hyperspectral imaging data capture and traceability for quality assurance;
  • cloud security, Dev Ops enablement, and audit-ready controls;
  • machine learning dataset generation, model improvement, new feature development, and productrollout;
  • integration with hospital and identity infrastructure.

The role requires ahands-on technical leader comfortable working across edge systems, distributed cloud infrastructure, data architecture, all within the context of regulated medical software development.

Key Responsibilities
  • Design and implement a modernend-to-end architecture connecting OR-based edge systems with cloud services, including support for delivery of over-the-air updates and remote monitoring.
  • Develop robust pipelines fordata ingestion, storage, cloud processing of large imaging and device data.
  • Create downstream data interaction, visualisation, and annotation infrastructure.
  • Build systems capable of supporting high-volume imaging pipelines and ML training workflows.
  • Lead the design and implementation of secure cloud and Dev Ops capabilities, including zero-trust access, infrastructure as code, observability, vulnerability management, disaster recovery, and audit-ready compliance controls.
Data & ML Enablement
  • Align closely with feature development engineers to provide data access APIs and infrastructure enabling:
  • ML dataset creation and annotation;
  • Training and evaluation pipelines;
  • Experiment tracking and model deployment.
  • Ensure robust data provenance, traceability, and integrity to support regulated ISO 13485, IEC 62304, and 21 CFR development processes and compliance with the EU AI Act.
Clinical & Hospital Integration
  • Architect integrations with hospital IT systems, including:
  • PACS andDICOM workflows for imaging data;
  • hospital identity and authentication (e.g. SAML/SSO);
  • secure clinical network environments.
  • Enable seamless transfer and processing of large volume medical imaging data from hospital systems to Hypervision’splatform.
  • Deliver performant remote customer access to imaging data stored on Hypervision’splatform.
Technical Leadership
  • Remain hands-on in design and implementation, contributing directly to critical components.
  • Ensure development follows best practices including design controls, requirements traceability and comprehensive testing.
  • Drive software engineering practices that support high reliability and rapid iteration.
  • Mentor engineers and help build a strong technical culture.

At Hypervision Surgical , we welcome candidates who have the core skills for the role and are keen to learn and grow with us. We are committed to creating an inclusive environment where a diverse mix of talented people come together and enjoy working with one another. By working together, we will change the way surgery is performed and improve patient care.

About

You

Required Experience

  • Significant experience designing andmaintainingclinicalproduction cloud platforms combining cloud and edge systems.
  • Experience building data pipelines for processing large datasets.
  • Strong backend engineering capability (C++, Python).
  • Experience integrating with hospital systems and medical imaging infrastructure, including

    DICOM and PACS.
  • Experience developing software in regulated healthcare or medical device environments, including practical Dev Ops and Info Sec experience.
  • Experience with modern infrastructure and tooling including containers, Linux-based systems, CI/CD, infrastructure automation, and other Dev Ops /Cloud Ops solutions.
  • Machine learning infrastructure orMLOps.
  • Experience designing edge update and deployment systems.
  • Knowledge of standards such as: DICOM, HL7/FHIR, IEC 62304, ISO 13485, ISO 14971, ISO 27001.
  • Experience building secure systems handling sensitive clinical data.
Personal Attributes
  • Comfortable operating…
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