Staff Platform Engineer, AI Systems

Role Description

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, enforce "Shift-Left" security, and deploy constantly. We are fully integrating frontier AI capabilities directly into our ecosystem.

This is a Systems Engineering role. 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, access tools, and when they should be trusted.

Who this is NOT: 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. Translate insights into a vision and influence organizational alignment on overall AI strategy.
• Build the Internal AI Platform: Build the unified, secure layer that connects tools like Copilot Agents, Gemini, Claude, Agentic CLIs, n8n workflows, and local agent runtimes to our core platforms.
• Create IDE Agents: Fine-tune and deploy IDE agents that accelerate coding for the entire engineering organization.
• Develop Agentic Workflows: Create orchestration layers and secure runtime environments for LLM tool-use.
• Bridge Information Silos: Build out the enterprise knowledge base to connect disparate data sources for agentic reasoning.
• Define Tiered Autonomy: Design security patterns for different levels of agent independence and implement mechanisms for safety.
• Secure the Frontier: Design auth patterns for agentic access, solving problems around authentication, authorization, and safeguards.
• Pragmatic Building: Help teams identify "Units of Toil" and target them with the right level of abstraction.
• Force Multiply the Team: Embed with teams to unblock workflows and help optimize setups and adopt "AI Native" workflows.

Qualifications

• Full Stack Systems DNA: A polyglot engineer with understanding of the entire stack.
• Frontier AI Proficiency: Fluent in AI enablement and familiar with various implementation patterns.
• Security-First Mindset: Understanding of risks in deploying LLMs in production environments.
• Organizational Influence: Excellent communication and collaboration skills.
• Pragmatism: Treat AI as a component, focused on measurable utility.
• Ownership: Desire to take ownership of your domain and operate autonomously.

Requirements

• Infrastructure: Fully Cloud-Native on GCP, Infrastructure as Code.
• 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: Flexible and ready for change with a mixture of tools and models.

Benefits

• Salary range: $206K - $232K for US-based positions.
• 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.