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aws kubernetes gcp ai ci/cdπ Description
- Architect an AI-First Ecosystem: embed AI agents in the dev loop.
- Pioneer LLM Integration: prototype, build, and deploy autonomous tools.
- Bridge AI and Fundamentals: scale AI tools with secure infra.
- Treat Platform as a Product: build a scalable internal developer platform.
- Define the AI-Native Engineering Standard: shape workflows and standards.
π― Requirements
- Deep AI conviction and practical AI to solve bottlenecks.
- Principal-level authority on CI/CD, AWS/GCP, and container orchestration.
- Product-minded; treat platform as a product and gather feedback.
- AI Agents: experience deploying AI assistants or autonomous coding agents.
- Quality at Speed: automate for fast, secure, reliable deployments.
π Benefits
- Remote-first culture with in-person participation.
- Regular team and company offsites.
- Equal opportunity employer; accommodations available.
- Accessibility accommodations for disabilities; screen reader support.
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