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Recognizable global brand, Bengaluru metro location, and broad platform leadership scope increase applicant competition.
Requires deep platform, distributed systems, and data-pipeline expertise, limiting cross-industry transferability.
Explicit 13+ years, 5+ people-management, and specific platform/cloud/streaming requirements make shortlisting strict.
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Define and drive long-term technical strategy and architectural direction for Gracenote’s metadata processing and serving platforms.
Lead multi-disciplinary global engineering teams to build scalable, fault-tolerant distributed systems and modern data pipelines integrating AI/ML and real-time streaming technologies.
Partner with Product, Data Science, and business leaders to align engineering outputs with strategic business goals and ensure high system availability and reliability.
13+ years of software development and engineering experience with proven expertise in scalable, high-performance systems.
5+ years of direct management experience including managing managers and global multi-disciplinary engineering teams.
Bachelor’s or Master’s degree in Computer Science, Engineering, IT, or related field (or equivalent experience).
Proficiency in object-oriented/functional programming (Golang, Java, Python, Scala), modern data architectures (Kafka, Spark, Flink), relational and NoSQL databases, cloud-native deployments (AWS, Azure, GCP).
Senior technical leader with strong background in scalable distributed systems, real-time data streaming, and AI/ML platform integration.
Experienced in managing and scaling global engineering organizations that include managers, architects, and engineers across multiple disciplines.
Strategic thinker capable of aligning engineering execution with broader business objectives and driving operational excellence via automation and process improvements.