System Developer
Indexed description
- Application Deadline: July 15, 2026
- Hybrid
As a World Health Organization (WHO) Collaborating Centre, we support work around the world to examine the potential adverse effects of medicines and vaccines and contribute to safer, more informed care of patients.
We are a diverse, international group of pharmacists, physicians, data scientists, system developers, communicators, and many other professionals motivated by a deep belief that the work we do matters.
About The Role
As a System Developer at UMC, you will join an agile DevOps team responsible for building, improving, and operating digital solutions used in a complex international context.
We are looking for a full-stack system developer with experience in modern development practices and an interest in working across the full application lifecycle, from design and implementation to testing, deployment, and continuous improvement.
You will work in a collaborative, inclusive environment where learning, quality, and shared ownership are central. The role offers opportunities to solve complex problems, influence technical direction, support team growth, and explore new ways of working, including AI-assisted development.
Skills & Requirements
What you will do
- Collaborate with product management and contribute to the product roadmap
- Design, implement, test, and maintain software solutions
- Participate in release, deployment, and operational activities
- Optimise and improve both new and existing applications
- Share knowledge and support continuous improvement across the team
- Continuously learn through new challenges and projects
- A team-oriented developer who values collaboration and strong team dynamics
- Able to communicate effectively with both technical and non-technical stakeholders
- Experienced in system development and DevOps practices
- Focused on quality and solution-oriented problem-solving
- Familiar with cloud technologies and cloud-native approaches
- Curious and open to new tools and ways of working
- Experienced in data science and machine learning
- Experienced in C# .net and Azure cloud
- Interested in training, testing, and integrating machine learning models
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