Infrastructure and DevOps Engineer, AI

About the role

The Infrastructure and DevOps Engineer reports to the Manager, Product & Engineering, AI, at the University of Global Health Equity (UGHE) in Rwanda. The role focuses on the security, hosting and integration of the OneSpaceAfrica (OSA) platform as it expands from UGHE to institutions across the Consortium of Medical Schools in Africa (COMS-A). It works alongside frontend and backend engineers and owns the day-to-day operation, reliability, automation and security of OSA's cloud infrastructure. The first year covers the UGHE platform, then the work extends to partner institutions.

Key responsibilities

• Work on cloud infrastructure end to end (networking, compute, storage, databases) defined in code and deployed through a reviewed pipeline.
• Maintain development, staging and production environments, monitoring, alerting, incident response, backup and tested restores.
• Track infrastructure costs by environment and service and implement security controls including identity and access, encryption, secrets management and vulnerability management.
• Implement data protection for research use, including de-identification and separation of personal practice data, and manage vendor and third-party risk.
• Lead technical incident response, business continuity planning and runbooks, and coordinate security testing and vulnerability remediation.
• Design scalable, multi-tenant infrastructure and support low-bandwidth and offline commitments.
• Monitor performance from pilots through rollout, lead technical readiness assessments at partner institutions, and handle integrations such as identity and single sign-on.

Required profile

• Bachelor's degree in Software Engineering, Computer Science, Computer Engineering, Information Technology, Human-Computer Interaction or a related field.
• 2+ years of professional experience in software engineering, infrastructure, cloud engineering, security or DevOps, with hands-on responsibility for production systems.
• Preferred: research data practices, third-party vendor/API risk, multi-tenant architecture, low-bandwidth/offline environments, education and LMS experience, and AI/ML exposure.
• Excellent English; French and/or Kinyarwanda preferred.

Required skills

• Cloud infrastructure (AWS preferred), identity and single sign-on integration, CI/CD, monitoring and incident response.
• Infrastructure as code (Terraform preferred).
• Cybersecurity and data privacy fundamentals, encryption, access controls and vulnerability management.

To apply, submit a CV, degree and a cover letter through the application page's Additional Files tab. UGHE is an equal opportunity employer and pre-employment checks are carried out.