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Metro location plus broad platform/AI skillset increases competition despite seniority and mid-tier brand.
Cloud, platform, and GenAI skills are transferable across industries, though enterprise travel domain adds modest bias.
Explicit 12+ years requirement and many mandatory cloud, platform, and GenAI skills create strict screening.
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Lead and drive technical vision, architecture, and engineering strategy across multiple cloud-native and AI-powered platforms.
Architect and execute enterprise modernization including cloud transformation, monolith to microservices, and platform consolidation.
Design and implement AI/ML, GenAI, and Agentic AI workflows integrating advanced AI technologies and cloud infrastructure.
12-18+ years of software engineering experience with proven senior technical leadership (Principal Engineer, Staff Engineer, or equivalent).
Expert-level experience in PHP (Laravel/Symfony), Java Spring Boot, distributed systems, and cloud platforms (AWS, Azure, or GCP).
Hands-on experience with AI/ML technologies including Generative AI, Retrieval-Augmented Generation, Prompt Engineering, Vector Databases, and AI Agent workflows.
Bachelor's or Master's degree in Computer Science, Engineering, IT, Artificial Intelligence, or related field.
Extensive experience influencing architecture and engineering strategy across multiple teams and business domains.
Strong background in cloud-native platform modernization, AI/ML adoption, and enterprise-scale system design.
Demonstrated ability to lead and mentor senior engineers and influence technical direction at executive levels.