Top Tech Jobs & Startup Jobs

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.

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.

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.

Drive the adoption of AI platforms and solutions in public sectors, ensuring stakeholder engagement, operational integration, and successful adoption strategies.

Design, develop and deploy machine learning and time-series models for water, wastewater and infrastructure systems; work with operational telemetry (SCADA/AMI/IoT), geospatial and graph analytics; integrate models into production pipelines with MLOps and monitoring; communicate results to stakeholders; perform Physical AI research and mentor junior data scientists.

Design, build, and maintain scalable cloud-native data platforms and pipelines (batch, streaming, near-real-time). Implement distributed processing (Spark), event-driven systems (Kafka), governance, security, observability, and support ML/analytics. Partner with cross-functional teams, optimize performance/cost, and mentor engineers while enabling production-grade data products.