Senior Software Engineer – Platform Frontend Team

As a Senior Software Engineer, you’ll take ownership of key components in Motilent’s advanced medical imaging platform, ensuring our viewer technology remains robust, performant, and scalable.

You’ll collaborate closely with engineers, solution architects, and product leads to design and maintain high-quality, regulatory-compliant software that supports both clinical and research use.

The role combines hands-on development with technical leadership — from defining architectural direction and implementing modern React-based interfaces, to mentoring other engineers and upholding engineering excellence across Motilent’s imaging ecosystem.

Key Responsibilities

• Act as code owner for critical viewer components, ensuring maintainability, performance, and alignment with product goals.
• Integrate with Motilent’s internal SDKs, DICOMWeb services, Keycloak authentication, and reporting/persistence APIs; guide configuration and deployment best practices across environments.
• Uphold engineering standards — code style and quality gates, localisation requirements, Jest unit coverage, Typedoc documentation, and CI-ready builds via Webpack/Docker.
• Provide technical leadership: mentor engineers through reviews, pairing, and architectural collaboration, while investing in practical logging, monitoring, and performance profiling.
• Take on line-management duties as the team grows: support onboarding, run structured 1:1s and performance reviews, set and review individual objectives and KPIs with the Solution Architect, and work with HR on wellbeing, disciplinary, and offboarding processes.
• Collaborate on roadmap planning, decompose work into deliverable increments, and communicate trade-offs to stakeholders.
• Help shape the architectural direction for the viewer and shared libraries, selecting patterns, interfaces, and technical investments that meet performance, scalability, and regulatory needs.
• Contribute to shared frontend libraries covering GPU rendering, measurement workflows, geometry utilities, algorithm implementations, and localisation resources to ensure platform-wide consistency.
• Work with stakeholders to define, review, and execute necessary and sufficient verification protocols based on deep understanding of the product and its intended use.
• Operate within the QMS, contributing to process reviews, keeping technical documentation current, and maintaining the training and competency records required for regulated work.

• Bachelor’s degree (or equivalent) in Computer Science, Engineering, or a related technical discipline, and 3+ years of experience as a software engineer within a commercial environment.
• Production experience with React 18 and TypeScript, including strongly typed hooks, component composition, and modular architecture.
• WebGL or Canvas-based rendering expertise for interactive medical or imaging UIs (LOD layers, measurement overlays, viewport coordination).
• Deep knowledge of DICOM/DICOMWeb workflows, imaging metadata, multi-series coordination, and medical data privacy considerations.
• Tooling fluency: Webpack 5, npm scripts, Dockerised deployments, Jest testing, ESLint/Prettier automation, and scalable state management patterns.
• Secure OAuth/OpenID (Keycloak) implementations, robust API integration, resilient error handling, and localisation pipelines.
• Strong grasp of numerical methods, vector/matrix maths, 3D transformations, and geometry.
• Comfortable working within regulated software development practices, including documentation, automated testing, and traceability expectations aligned with medical device standards.

• Background in medical imaging analysis, clinical research tooling, or reporting pipelines.
• Performance tuning for WebGL renderers, worker-based computations, or large data streaming in browsers.
• Contribution to design systems, accessibility audits, and automated localisation workflows.
• Fluency in adjacent languages used across Motilent products (e.g. Python 3, modern C++, Java, Terraform) for pipeline or tooling integration.
• Experience applying advanced mathematics, geometry, optimisation, or algorithm design to imaging problems.
• Experience with cloud infrastructure solutions such as AWS, Microsoft Azure, and Google Cloud.
• Comfortable learning and extending proprietary libraries covering WebGL rendering, measurements, deformation, localisation, and related imaging toolkits.