Platform Engineer

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Sand Technologies

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Sand Technologies is a global leader in using artificial intelligence and data to address complex problems faced by businesses, industries, and governments worldwide. With a mission to create sustainable solutions beyond the AI hype, Sand Technologies focuses on delivering real value for its customers by solving pressing challenges through innovative digital solutions. The company emphasizes its core values of courage, humility, adventure, initiative, and resilience to drive progress and inspire change. As a team of tech enthusiasts and professionals, Sand Technologies is committed to leveraging AI for good, aiming to make a meaningful difference globally.

📋 Description

• Kubernetes platform ownership: Design, deploy, and operate production Kubernetes clusters across AWS EKS and on-premises / bare-metal environments — owning cluster lifecycle, upgrades, multi-cluster topology, RBAC, networking, ingress, storage, and workload security. • Platform engineering: Build golden paths and self-service capabilities — Helm charts, operators/CRDs, reusable manifests, and internal tooling — that make it fast and safe for product and delivery teams to ship onto the platform. • GitOps & automation: Implement declarative, GitOps-driven delivery (Argo CD / Flux) and treat all infrastructure as code so environments are reproducible, auditable, and recoverable. • Reliability & SRE: Define SLOs and error budgets, lead incident response and blameless post-mortems, drive capacity and autoscaling strategy, and continuously improve the resilience and security posture of critical workloads. • Observability: Build and own monitoring, logging, tracing, and alerting (Prometheus, Grafana, OpenTelemetry, and similar) so the health of every deployed system is clear and actionable. • CI/CD pipelines: Develop and maintain CI/CD pipelines that streamline build, test, and deployment across services and environments. • R&D and problem-solving: Investigate infrastructure-level challenges, prototype solutions, and bring them into production. • Debugging & issue resolution: Troubleshoot and resolve infrastructure, networking, and cluster issues promptly to protect system integrity and performance.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field — or equivalent practical experience. • Minimum of 5 years in cloud/platform engineering, with significant hands-on time operating Kubernetes in production. • Proven track record of designing and running scalable, secure, and reliable cloud- and container-based platforms. • Experience managing on-premise and bare-metal deployments of Kubernetes clusters. • Excellent problem-solving skills, with the ability to research deeply and develop innovative solutions to complex infrastructure challenges. • Strong communication skills and a genuine ability to collaborate across cross-functional, distributed teams. • Willingness to travel across the African continent to support our in-country teams when needed.

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