Strike

Financial Services

StaffPlatformEngineer,AISystems

$206–232k Remote Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Staff candidates.

The Brief

“Staff Platform Engineer, AI Systems at Strike. Skills: AI Systems, Agentic Systems, Platform Engineering. Drive AI vision. Translate insight into vision”

Industry & Context.

Financial Services
Problems you'll solve

Root cause analysis

What They're Looking For.

Must Have

Full Stack Systems DNA, Frontier AI Proficiency, Security-First Mindset, Organizational Influence, Pragmatism, Ownership

What You'll Do.

Translate insight into vision

Influence organizational alignment

Build unified secure layer

Connect tools to platforms

Build internal MCP servers

Create orchestration layers

Create secure runtime environments

Build enterprise knowledge base

Design security patterns

Implement Verifiable State

Implement Revert mechanisms

Solve authentication problems

Solve authorization problems

Solve human-in-the-loop safeguards

Identify Units of Toil

Unblock team workflows

Help engineers optimize setups

Help team adopt workflows

How You'll Work.

Team & Collaboration

Working with teams; Cross-functional teams

Communication Scope

Explain AI concepts

Full Job Description

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 Staff Platform Engineer (AI Systems) to join our Core Team. Strike is already a high-velocity, cloud-native engineering organization. We run an immutable infrastructure on GKE, we enforce "Shift-Left" security, and we deploy constantly. We are full on integrating frontier AI capabilities directly into our ecosystem - not as a gimmick, but as a force multiplier for our team. This is a Systems Engineering role. You will not be fine-tuning models or building chatbots for fun. You will be building the secure connective tissue that allows agentic systems to interact with our real-world infrastructure. You will define how agents authenticate, how they access tools, and - crucially - when they should be trusted. 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 create the agentic harness and tools that empower our team. What You Will Do Drive the Vision: Blend your ability to execute with your ability to strategize. You will take the insight you gather working with teams, translate that into a vision, and influence organizational alignment on overall AI strategy. Build the Internal AI Platform: We have already operationalized tools like Copilot Agents, Gemini, Claude, Agentic CLIs, n8n workflows, and local agent runtimes. Your job is to build the unified, secure layer that connects these tools to our core platforms (e.g., building internal MCP servers). Create I

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