System Engineer

Domain:

Clinical Research | Healthcare Technology

About the Role We are an advanced neuropsychiatric and neurorehabilitation centre with an active clinical research programme. We are building and scaling a proprietary patient data management platform that supports both our clinical operations and research workflows. The platform handles structured patient records, multi-format document ingestion, and clinical outcome tracking. You will own the technical architecture of the platform and contribute to its long-term growth.

Responsibilities Refactor a large Python codebase into a well-structured, maintainable multi-module package Migrate production data from SQLite to PostgreSQL, including schema redesign, data validation, and automated backups Deploy and maintain the application on a cloud platform, including managed database hosting, file storage, and secure remote access for multiple sites Package the application using Docker and docker-compose for consistent, reproducible deployment Implement role-based access control for clinical staff, researchers, and administrators Build pipelines for ingesting and indexing reports from PDFs and external sources Develop or integrate a web-based reporting interface accessible by authorised users Expose a clean API layer for external tools such as statistical software and ML pipelines to query the platform Support scaling to multiple clinical sites over time Implement audit logging and data governance practices appropriate for clinical research data

Skills & Qualifications Required Proficiency in Python (backend development, OOP, modular design) Hands-on experience with PostgreSQL — schema design, migrations, and performance tuning Practical knowledge of Docker and containerised deployment Experience deploying applications on a cloud platform — AWS, GCP, or Azure (any one is sufficient) Experience with Git and collaborative version control Comfortable handling sensitive or regulated data

Preferred Experience with managed cloud database services (AWS RDS, Google Cloud SQL, or equivalent) Familiarity with cloud storage for document and file management (S3, GCS, or equivalent) Experience with SQLAlchemy or Alembic for database versioning Knowledge of FastAPI or Flask for API development Exposure to PDF parsing, OCR, or document processing pipelines Prior work in clinical, healthcare, or research data environments Data privacy awareness — anonymisation, access control, audit logging Good to Have Basic frontend exposure (Streamlit, Dash, or similar) Familiarity with cloud networking basics — VPCs, security groups, access policies Interest in or familiarity with clinical research workflows

Who We Are Looking For A pragmatic, self-directed engineer who can take ownership of a functioning system, improve it without breaking it, and build with future scale in mind. You should be comfortable working closely with a clinical researcher and translating real-world workflow needs into reliable technical solutions. 2–5 years of backend or full-stack development experience At least one prior database migration project Prior cloud deployment experience is essential Clinical or research domain exposure is a strong advantage

Engagement The role begins as a contract engagement with scope to transition into a longer-term arrangement as the platform grows. Compensation is commensurate with experience and will be discussed during the interview process.