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Strong employer brand and metro location but senior specialized leadership reduces applicant density.
Portable backend leadership and cloud skills across industries, though media metadata domain adds some specificity.
Explicit 13+ years, 5+ years management, and mandatory distributed systems/cloud requirements.
Define and drive long-term technical vision and architecture for core metadata ingestion, processing, and serving platforms.
Lead and scale multi-disciplinary global engineering teams including managers and technical leads, focusing on platform modernization and integrating AI/ML capabilities.
Ensure system reliability, scalability, and performance while aligning engineering efforts with product strategy and business goals.
13+ years of software development and engineering experience with a proven record in designing scalable, high-performance distributed systems.
5+ years of direct management experience including managing managers and global engineering teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related technical field.
Proficiency in object-oriented and functional programming (e.g., Golang, Java, Python, Scala), modern data architectures (Kafka, Spark, Flink), relational and NoSQL databases, caching, search engines, and cloud-native deployment (AWS, Azure, GCP).
Experienced leader with a strategic mindset for platform modernization and integrating AI/ML into metadata pipelines.
Proven ability to manage and grow multi-disciplinary, global engineering teams with strong collaboration across product, data science, and business stakeholders.
Strong background in architecting fault-tolerant, low-latency distributed systems with expertise in cloud ecosystems and agile process automation.