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Senior, specialized Principal cloud role with AI-first platform reduces candidate pool despite metro location.
Requires specific cloud-native and distributed-systems expertise limiting cross-industry transferability.
Explicit 12+ years requirement plus deep cloud, architecture, and production-ownership mandates strict filtering.
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Define and lead the technical direction for large-scale, cross-product cloud architecture focusing on AI-first distributed systems and data modeling.
Own end-to-end delivery including development, testing, release, and production operations of cloud-native services emphasizing scalability, reliability, and security.
Drive engineering standards, resolve critical cross-team technical challenges, mentor senior engineers, and influence long-term platform evolution and product AI integration.
12+ years of relevant experience in cloud-native software engineering and distributed systems.
University degree in computer science, mathematics, IT, or relevant professional experience with qualified technical training.
Strong expertise in distributed systems, cloud-native architecture, service ownership, automation, CI/CD, scalability, reliability, and security.
Ability to work under minimal supervision and effectively use AI tools with sound engineering judgment.
Experienced senior engineer or architect capable of leading complex cross-product cloud and AI-first system designs at scale.
Strategic thinker skilled in balancing performance, cost, customer impact, and operational risk in large distributed environments.
Proactive problem solver who drives engineering productivity, platform reliability, and automation improvements while mentoring principal engineers.