About eFiche

eFiche is a Rwanda-based digital health company building AI-powered clinical tools that support nurses and midwives at the frontline of primary health care. Our work spans ambient clinical documentation, AI-driven decision support, and risk flagging — all designed to reduce cognitive load on health workers and improve the quality of care delivered to patients across Rwanda's health system. We operate at the intersection of AI engineering, clinical practice, and health system strengthening, and we are scaling fast.

As our AI platform grows to serve an expanding network of health facilities nationwide, we are looking for an experienced MLOps / Infrastructure Engineer to own the reliability, security, and scalability of the infrastructure that underpins everything we build.

Purpose of the Role

The MLOps / Infrastructure Engineer owns the infrastructure of eFiche's AI services layer — from development and staging environments through to production — ensuring the AI platform is reliable, secure, and performant as we expand to national coverage.

Key Responsibilities

• Design, build, and maintain automated build, testing, and deployment pipelines for eFiche's AI services
• Manage cloud and on-premise infrastructure, including server provisioning, containerisation, and environment management
• Own AI model serving infrastructure — deployment, versioning, latency monitoring, and rollback protocols
• Ensure infrastructure compliance with Rwanda's NCSA cybersecurity standards and the project's data governance framework
• Monitor system uptime, performance, and incident response; maintain ≥95% uptime SLA
• Support security audits and penetration test remediations
• Ensure the AI services layer remains available and performant when communicating with national health system API endpoints

Required Profile

• 5+ years of experience in DevOps, infrastructure engineering, or MLOps
• Proficiency in containerisation (Docker, Kubernetes or equivalent) and cloud infrastructure (AWS, GCP, or Azure)
• Experience deploying and serving ML models in production environments
• Familiarity with automated build and deployment tooling (GitHub Actions, GitLab CI, or equivalent)
• Understanding of data security, encryption, and access control principles
• Experience in low-resource or offline-first deployment contexts is a strong advantage
• Health tech experience is an advantage but not required

• Design, build, and maintain automated build, testing, and deployment pipelines for eFiche's AI services
• Manage cloud and on-premise infrastructure, including server provisioning, containerisation, and environment management
• Own AI model serving infrastructure — deployment, versioning, latency monitoring, and rollback protocols
• Ensure infrastructure compliance with Rwanda's NCSA cybersecurity standards and the project's data governance framework
• Monitor system uptime, performance, and incident response; maintain ≥95% uptime SLA
• Support security audits and penetration test remediations
• Ensure the AI services layer remains available and performant when communicating with national health system API endpoints

• Containerisation (Docker, Kubernetes or equivalent)
• Cloud infrastructure (AWS, GCP, or Azure)
• Deploying and serving ML models in production environments
• Automated build and deployment tooling (GitHub Actions, GitLab CI, or equivalent)
• Data security, encryption, and access control principles
• Low-resource or offline-first deployment contexts (advantage)
• Health tech experience (advantage)

• 5+ years of experience in DevOps, infrastructure engineering, or MLOps