Jobs at Sand Technologies

Lead production delivery of intelligent solutions across data pipelines, APIs, and application layers. Serve as the primary technical client contact, mentor a cross-functional squad, make architectural decisions, manage technical risk, and contribute hands-on across software and data engineering. The role requires Azure delivery experience and collaboration with solution architects in regulated, critical-infrastructure environments.

Lead Sand’s government business growth across Africa by building relationships with governments, funders, development partners, and private-sector organizations. Originate and progress opportunities, navigate tenders and donor procurement, shape technology-enabled propositions with product and technical teams, build consortia, and expand successful programs across countries and sectors. The role spans healthcare, telecommunications, energy, water, infrastructure, and digital government, requiring executive presence, commercial judgment, diplomacy, and fluency in AI, data, and digital systems.

Own and operate production Kubernetes platforms across AWS EKS and self-managed bare-metal environments. Design cluster infrastructure, networking, security, storage, GitOps workflows, Helm-based golden paths, CI/CD pipelines, and observability systems. Establish SLOs, error budgets, incident response, post-mortems, capacity planning, and autoscaling practices. Troubleshoot complex infrastructure and networking issues, research solutions, and support distributed teams deploying mission-critical healthcare and infrastructure systems.

The Technical Lead will oversee system deployment and integration across various sectors, managing local teams and ensuring reliability of technology systems to improve healthcare and other services.

The Technical Lead will oversee system implementation and integration across various sectors, manage technical teams, and ensure project success while building local capacity.

The Forward Deployed Engineer will build relationships within the Ministry of Health, deploy AI solutions, lead local technical teams, and ensure continuous knowledge transfer and system sustainability.

The Forward Deployed Engineer will work full-time in Guinea-Bissau's Ministry of Health, managing technical solutions, building relationships, and contributing to health system improvements using Sand's product suite.

The Forward Deployed Engineer will embed within Tanzania's Ministry of Health, delivering AI-driven health solutions and building institutional relationships while managing projects and local teams.

Design, build, and maintain scalable ETL/ELT pipelines and Lakehouse architectures using big-data and cloud technologies. Lead data modelling, streaming and batch processing, CI/CD and containerized deployments. Ensure data quality, governance, security, and support ML workflows. Mentor engineers and collaborate with cross-functional teams to deliver reliable, cost-efficient infrastructure for a UK utilities client.

Lead global marketing strategy and execution across brand, product marketing, digital, content, and events. Manage a central marketing team, own global product positioning and messaging, oversee digital channels and major events, develop sales collateral, and drive marketing-sourced pipeline in collaboration with Sales, Partnerships, Product, and Engineering.

The Forward Deployed Engineer embeds with clients in Energy, Utilities, or Public Sector to unlock data and build production solutions, focusing on fast deployment and measurable outcomes.

As a Forward Deployed Engineer, you will build relationships with the Ministry of Health in Zambia, deliver rapid technical solutions, lead local teams, and integrate complex health data systems.

As a Forward Deployed Engineer, you will work embedded within Malawi's Ministry of Health, delivering technical solutions, managing client relationships, and building local capacity for sustainable health system improvements.

The Forward Deployed Engineer serves as a permanent technical presence within the Ministry of Health in Nigeria, delivering solutions and building relationships to enhance health systems using Sand's AI products.

The Forward Deployed Engineer will work with the DRC Ministry of Health to implement and manage AI-based health systems, ensure solutions meet operational needs, and build local capacity.

Own and operate production Kubernetes platforms across cloud (AWS EKS) and on-prem/bare-metal, implement GitOps (Argo CD/Flux), build self-service tooling (Helm, operators/CRDs), define SLOs and incident response, develop observability (Prometheus, Grafana, OpenTelemetry), maintain CI/CD pipelines, automate infrastructure as code, and troubleshoot infrastructure and cluster issues to ensure reliable mission-critical workloads.

Design, build, and scale backend services, microservices, APIs, and secure cloud applications for physical AI solutions. Integrate AI models and data pipelines, manage infrastructure across AWS, Azure, or GCP, implement testing and CI/CD practices, support real-time data systems, and mentor junior engineers. The role also requires front-end development with React and JavaScript, SQL database work, data visualization, production deployments, and frequent client-site travel.

Lead development and deployment of machine learning models for utility problems (grid optimization, asset management, forecasting). Conduct R&D, integrate models into production, communicate impact to stakeholders, mentor junior data scientists, and stay current with ML, MLOps, and AI ethics.

Lead development and deployment of machine learning models for healthcare problems, collaborate with clinical and engineering teams to integrate models into production, mentor junior data scientists, maintain best practices in MLOps, data governance and ethics, and communicate technical results and clinical impact to stakeholders.

Lead healthcare-focused data science: set vision and roadmap, drive research and production ML solutions, mentor data scientists, align cross-functional teams, improve data foundations, and provide organizational data science leadership.