Senior Platform Engineer, AI Systems at Strike

<div class="content-intro"><h3>Better Money</h3> <p>Strike is the Bitcoin company. With Strike, you can buy and sell bitcoin, pay bills, and borrow against your holdings. From individuals to businesses, Strike is purpose-built for every step of the Bitcoin journey. Available in more than 100 countries — including the U.S., Europe, Latin America, and Africa — Strike is building a better financial system powered by Bitcoin. Bitcoin is better money. Strike is how you use it.</p> <h3>Role</h3></div><p>We are seeking a <strong>Senior Platform Engineer (AI Systems)</strong> to join our Core Team.</p> <p>Strike is already a high-velocity, cloud-native engineering organization. We run immutable infrastructure on GKE, we enforce "Shift-Left" security, and we deploy constantly. We are fully integrating frontier AI capabilities directly into our ecosystem — not as a gimmick, but as a force multiplier for our team.</p> <p>This is a hands-on <strong>Systems Engineering</strong> role focused on <strong>building, shipping, and operating</strong>. You will not be fine-tuning models or building chatbots for fun. You will build and run the secure connective tissue that lets agentic systems interact with our real-world infrastructure: how agents authenticate, how they access tools, and — crucially — when they should be trusted. The AI platform direction is set; your job is to turn it into production systems that our enginners relies on every day.</p> <p><strong>Who this is NOT:</strong> To save your time — this is <strong>NOT</strong> a Data Science or MLOps role. We are not looking for someone to train custom models in PyTorch or manage Kubeflow clusters. We are looking for a systems builder to ship and operate the agentic harness and tools that empower our team.</p> <h2>What You Will Do</h2> <ul> <li><strong>Build and operate the internal AI platform.</strong> We have already operationalized tools like Copilot Agents, Gemini, Claude, agentic CLIs, n8n workflows, and local agent runtimes. You will build and run the unified, secure layer that connects these tools to our core platforms — including building and hosting internal MCP servers on our GKE / Helm / ArgoCD stack.</li> <li><strong>Ship IDE agents.</strong> Deploy, configure, and tune IDE agents that accelerate coding for the entire engineering organization (harness / prompt / config work — not model training).</li> <li><strong>Build agentic workflows.</strong> Create and run the orchestration layers and secure runtime environments for LLM tool-use.</li> <li><strong>Bridge information silos.</strong> Build out the enterprise knowledge base and connectors that let agents reason across disparate data sources.</li> &lt