Web App Developer

BackgroundSystems for Development (S4D) Consulting is a US-based IT consulting and digital transformation firm focused on transforming organizational performance through sustainable information and communication technology solutions. Incorporated in the United States, with operational branches in Ghana, Rwanda, Zambia, and Uganda, S4D specializes in delivering innovative digital solutions that help organizations across government and private sectors optimize operations, improve efficiency, strengthen decision-making, and achieve measurable impact. As part of its growing digital health and AI portfolio, S4D is seeking a Web App Developer to support the development of the National Digital Health Intelligence Center (NDHIC) in Zambia.The Ministry of Health Zambia, in collaboration with implementing partners, is advancing the establishment and operationalization of the National Digital Health Intelligence Center (NDHIC). The Center is envisioned as a national digital decision intelligence platform that will strengthen data driven decision making through enhanced integration, analysis, visualization, and use of health data across the health sector.As part of this effort, the first use case being supported by S4D is the Predictive Stock Intelligence Engine (PSIE). The PSIE leverages machine learning to predict stock out risks for health commodities, providing supply chain planners with early warning alerts and actionable insights to help prevent service disruptions at facility, district, provincial, and national levels.The initiative has completed requirements gathering, system architecture design, and design session validation. We are now looking for a Web App Developer to lead the build-out of the application layer, translating approved UI designs into a production-grade web application, integrating ML model endpoints, and deploying the solution on the hosting infrastructure.Role SummaryThe developer will own the end-to-end delivery of the PSIE application layer, from approved mockups through to deployed, production-ready dashboards and interfaces. The role bridges front-end development, API integration, and infrastructure deployment, working closely with the data engineering and ML engineering teams (who deliver trained stock-out prediction models).Key ResponsibilitiesApplication DevelopmentBuild the Predictive Stock Intelligence Engine platform from approved wireframes and design specifications, including stock-out risk dashboards, commodity monitoring views, alert panels, and reporting interfacesImplement interactive data visualizations — stock-out probability indicators, months-of-stock (MOS) trend lines, consumption patterns, risk heat maps, and geographic drill-downs (national → provincial → district → facility)Develop user workflows including filtering, drilldowns, threshold-based alerting, commodity segmentation views, and export functionality (PDF, Excel)Build role-based views and navigation for different user profiles (supply chain planners, provincial pharmacists, national M&E officers, warehouse managers)API and ML Model IntegrationIntegrate the front-end with ML model inference endpoints (REST APIs) to surface stock-out risk predictions, near stock-out flags, and recommended redistribution actionsConnect to the data platform’s serving layer (Gold layer of the medallion architecture) for live and historical stock, consumption, and distribution dataImplement real-time and scheduled data refresh logic across dashboard componentsHandle API error states, loading states, and data latency gracefully in the UIInfrastructure and DeploymentSet up and manage the hosting environment for the application — whether cloud, on-premises, or hybrid — based on the infrastructure decisions made during implementationConfigure CI/CD pipelines for automated testing, build, and deploymentImplement authentication, authorization, and role-based access control (RBAC)Ensure the application meets security, performance, and availability requirements appropriate for a government health platformMonitor application performance and set up logging and alertingCollaboration and HandoverWork with the data engineering team to define and consume API contracts from the data platformCoordinate with the ML engineering team on model endpoint specifications, input/output schemas, and versioningParticipate in UAT cycles with MoH stakeholders, incorporating feedback into iterative releasesProduce technical documentation covering application architecture, deployment procedures, and maintenance guidesSupport knowledge transfer and capacity building for MoH/ICT teams to ensure long-term sustainabilityRequired Qualifications4+ years of professional experience in web application developmentStrong proficiency in a modern front-end framework (React, Vue, or Angular) with experience building data-heavy dashboards and visualization interfacesExperience with data visualization libraries for rendering charts, maps, and interactive analytics viewsProven experience integrating front-end applications with REST APIs and handling asynchronous data flowsHands-on experience deploying and managing applications across cloud, on-premises, or hybrid environmentsExperience with containerization and container orchestrationFamiliarity with CI/CD practices and toolingExperience implementing authentication and RBAC in web applicationsStrong understanding of responsive design, accessibility, and cross-browser compatibilityPreferred QualificationsExperience working in health systems, public health informatics, or supply chain analyticsExperience consuming ML model endpoints and surfacing predictions or risk scores in user-facing applicationsExposure to data platform architectures (medallion/lakehouse patterns, data warehouses)Prior work with government or multilateral stakeholders in Sub-Saharan AfricaExperience supporting UAT processes and iterating based on non-technical stakeholder feedbackKey CompetenciesAbility to translate design mockups into pixel-accurate, performant interfaces without extensive design hand-holdingComfort working across the stack from UI components to API integration to infrastructure deploymentStrong communication skills, particularly the ability to explain technical decisions and trade-offs to non-technical stakeholdersSelf-directed and able to work in a small, distributed team with minimal oversightPragmatic approach to technology choices focused on what works reliably in the operating context rather than what’s newestPlatform-agnostic mindset able to assess and work with whatever hosting model fits the operational realityDeliverablesDeployed PSIE with all approved dashboard, monitoring, alert, and reporting viewsIntegrated ML model endpoints surfacing stock-out risk predictions and near stock-out flagsHosting infrastructure setup with CI/CD, monitoring, and RBACTechnical documentation and deployment runbooksHandover and capacity-building sessions with the MoH/ICT teamApplication InformationCandidates should submit a CV to hrmanagement@s4dconsulting.com by the close of business on Friday, May 22, 2026.Applications should reference specific projects or platforms the candidate has designed or built. Submissions that do not evidence the required technical background will not be progressed.Shortlisted candidates will complete a technical assessment before the interview stage.