Staff AI-Native Platform Engineer

About the Role

We are looking for a visionary Staff AI-Native Platform Engineer to lead the evolution of our technical foundation. In this high-impact role, you will move beyond traditional automation to architect an AI-native ecosystem that integrates Generative AI into every layer of our Development Platform.

As a technical leader within the Platform organization, you won’t just be maintaining infrastructure, you will be reimagining the developer experience (DevEx). You will be the primary advocate for GenAI, fostering a culture of “AI-first” engineering by building agentic workflows that accelerate Cloud Orchestration, CI/CD, Observability, and FinOps. We need a creative engineer who can bridge the gap between cutting-edge LLM capabilities and robust, production-grade platform tooling.

What You’ll Do

Architect AI-Integrated Infrastructure

• AI-First Development Platform: Design and build unified interfaces where AI agents manage complex tasks like environment provisioning, automated PR reviews, and self-documenting codebases.
• Intelligent Orchestration: Embed AI-driven intelligence into CI/CD pipelines and Observability stacks to enable predictive scaling, automated incident triage, and self-healing systems.
• Autonomous FinOps: Evolve AI-assisted FinOps workflows to automate cost attribution, anomaly detection, and optimization recommendations across AWS and other cloud environments.
• Governance & Guardrails: Implement AI-driven governance to ensure architectural standards and security policies are met without slowing down developer velocity.

Elevate Developer Experience (DevEx)

• Agentic Tooling: Develop production-grade internal tools that use agentic reasoning to solve 'day two' operational challenges for product teams.
• Internal Developer Portal (IDP): Integrate natural language interfaces into our IDP, allowing developers to interact with the platform through conversational AI.
• Actionable Insights: Transform raw telemetry into 'executive-ready' insights using advanced data modeling and AI-driven visualization.

Lead AI Mentorship & Evangelism

• Strategic Advisory: Partner with senior leadership to model the technical and operational trade-offs of various AI architectural decisions (e.g., Build vs. Buy, Model Selection).