Platform Engineer

🔥 15 hours ago

🌐 Spain, South Africa, +5 more countries – Remote

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⏰ Full Time

🟠 Senior

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 25%

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Logo of Share

Share

11 - 50 employees

Founded 2024

📡 Telecommunications

🏪 Marketplace

☁️ SaaS

Telecommunications • Marketplace • SaaS

Share is a carrier-neutral, open-access network and bandwidth marketplace that aggregates telco infrastructure into a single intelligence layer. It connects fiber routes, ISPs, CDNs, data centers, subsea cables and infrastructure providers to enable enterprises, ISPs, hyperscalers, and AI companies to buy, sell, and trade bandwidth with standardized pricing, SLA-backed services, automated payments via a Share wallet, and public APIs for quick onboarding. Share monetizes underutilized capacity for suppliers and provides buyers with unlimited, redundant backhaul with no commits, focusing currently on deployment across African cities with plans in Europe and the US.

📋 Description

• Scale Share's infrastructure as its bandwidth marketplace grows • Operate and evolve modern cloud-native infrastructure • Manage Kubernetes, cloud architecture, containers, and virtualization • Maintain the APIs and DevOps practices supporting marketplace operations • Identify and resolve problems before they escalate into incidents • Work closely with the systems engineer, network team, and software teams • Own systems problems from scoping through production • Apply operational learnings to improve the engineering department

🎯 Requirements

• 7+ years of professional systems/infrastructure engineering experience, with real ownership of infrastructure at scale • Leadership mindset and responsibility for outcomes • Deep Kubernetes expertise, including deploying, scaling, and debugging production clusters • Strong cloud infrastructure experience; GCP preferred • Experience with networking, IAM, cost and capacity planning, and multi-region architecture • Production Docker and container orchestration experience • Virtualization technology experience, such as VMware, KVM, or Hyper-V • Experience across the VM layer through containers and orchestration • Deep production API design and management experience • AI-native workflow experience, including building with AI tools • Ability to scope, build, own, and improve systems through production

🏖️ Benefits

• Meaningful equity in a mission-driven, investor-backed company • High-ownership environment • Steep but well-supported learning curve • Team that writes things down

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