Senior Platform Engineer, AI Systems

"Better Money 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. Role We are seeking a Senior Platform Engineer (AI Systems) to join our Core Team. 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. This is a hands-on Systems Engineering role focused on building shipping and operating . 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. Who this is NOT To save your time — this is NOT 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.

What You Will Do

Build and operate the internal AI platform. 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. Ship IDE agents. Deploy configure and tune IDE agents that accelerate coding for the entire engineering organization (harness / prompt / config work — not model training). Build agentic workflows. Create and run the orchestration layers and secure runtime environments for LLM tool-use. Bridge information silos. Build out the enterprise knowledge base and connectors that let agents reason across disparate data sources. Implement Tiered Autonomy. Build the security patterns for different levels of agent independence — from ""Advisory"" (read-only) to ""Autonomous"" (action-taking) — and implement the ""Verifiable State"" and ""Revert"" mechanisms that make Tier 3 autonomy safe. Secure the frontier. Implement the auth patterns for agentic access authentication authorization and ""human-in-the-loop"" safeguards that let us move fast without breaking our ""Zero Trust"" principles. Deliver it as code through our existing IaC and GitOps pipelines. Build pragmatically. You know when to use an LLM and when to just write a script. You help teams identify ""Units of Toil"" and target them with the right level of abstraction. Force-multiply the team. Embed with teams to unblock their workflows hands-on. You are the go-to expert on frontier tools helping engineers optimize their setups and adopt ""AI Native"" workflows.

What We Are Looking For

Hands-on with our kind of infrastructure. You have personally built deployed and operated production systems on Kubernetes (ideally GKE) with Helm and GitOps (ArgoCD) managed cloud infrastructure as code (Terraform or equivalent) on GCP/AWS/Azure and worked with enterprise secrets management. You have carried the pager for what you shipped — you don't just use this stack you run it. Full-Stack Systems DNA. You are a polyglot engineer comfortable across the stack — frontend interfaces backend distributed systems and cloud infrastructure. Bonus for C/.NET Python and TypeScript. Frontier AI Proficiency. You are fluent in the current landscape of AI enablement and have shipped implementations using patterns like MCP RAG function-calling and evals. You understand techniques like AI-as-a-Judge and agent self-improvement and how to balance deterministic systems with non-deterministic outputs. Security-First Mindset. You understand the risks of deploying LLMs in production. You are fluent in Shift-Left security least-privilege access for non-human actors and robust secrets management. Pragmatism. You treat AI as a component not magic. You are skeptical of hype and focused on measurable utility and you balance the cognitive load of LLM output against the efficiency it buys. Ownership. You are an owner at heart. Taking ownership of your domain is innate and automatic. You operate autonomously do the unglamorous 80% and see things through to completion — every time. Clear communicator. You can explain complex AI concepts to non-technical stakeholders and collaborate closely with the teams you embed in to drive real adoption. Our Environment (Context) Infrastructure Fully cloud-native on GCP Infrastructure as Code (Terraform). Orchestration Google Kubernetes Engine (GKE) with Helm & ArgoCD.

Languages

C/.NET (core services) Python (data/scripts) TypeScript (web). Security Comprehensive enterprise secrets management and governance tooling. AI Stack We use a mixture of tools and models being flexible and ready for change is the default. US-Based Positions Salary range $206K - $232K Equity in a high-growth startup Health dental and vision insurance premium contributions short & long-term disability insurance and basic life insurance Cell phone and internet reimbursement Flexible PTO sick leave & parental leave Access to a company 401k plan No trading fees when you buy and sell bitcoin on Strike Non US-Based positions

Benefits

and compensation are location dependent We do not make hiring decisions based on educational history whatsoever. Our Founder is a college dropout. We work with high school dropouts PHD candidates and everything in-between. We do not hire credentials. We simply partner with talented passionate individuals who are excited to be a part of our team. By clicking submit application below you consent to our use and processing of your data as described in our Candidate

Privacy Notice

Use of AI. Strike uses AI-assisted tools to help review assess and verify applications and support the integrity of our recruitment process. A human is always involved in our hiring decisions — we do not rely on automated processing alone."