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Strong employer brand and metro location increase competition despite seniority and specialized distributed-systems focus.
Requires large-scale distributed-systems and enterprise-platform experience, making background fit moderately sensitive across industries.
Explicit 11+ years requirement plus mandatory distributed-systems, databases, and streaming expertise makes shortlisting highly strict.
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Lead design and development of scalable distributed applications and APIs supporting LinkedIn's core enterprise platform serving paid products.
Own high-throughput data-intensive backend systems handling 500K+ peak requests/sec and managing 90+ TB of critical enterprise data across various storage technologies.
Drive architectural decisions, collaborate cross-functionally to improve platform scalability, engineering productivity, and maintain high-quality production code with a focus on craftsmanship.
11+ years of software design and development experience.
Strong programming skills in Java and/or other object-oriented languages.
BS Degree in Computer Science or related technical discipline or equivalent practical experience.
Experience building large-scale distributed systems handling high-volume data processing and knowledge of relational and NoSQL databases.
Experienced in designing and operating large-scale, high-throughput enterprise backend platforms with emphasis on data integrity and system bottlenecks.
Familiar with real-time data streaming frameworks (e.g., Kafka, Flink, Beam) and event-driven architectures.
Proven technical leadership with a strong bias for action and focus on software craftsmanship in complex, distributed environments.