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Tier-1 brand and Bangalore metro increase applicant density despite seniority reducing generalist competition.
Role demands deep distributed systems and platform engineering experience, limiting cross-industry transferability.
Explicit 11+ years requirement plus deep backend, databases, and streaming expertise enforces strict shortlisting.
Lead design and development of scalable distributed applications and backend systems supporting LinkedIn's Enterprise Platform's core services including user/license management, digital goods, and access management.
Own high-throughput, data-intensive systems handling 500K+ peak requests per second and managing 90+ TB of enterprise data across multiple databases and processing jobs.
Act as a technical leader and coach to engineers, making architectural trade-offs and driving collaboration across teams to improve scalability and engineering productivity.
BS Degree in Computer Science or related technical discipline or equivalent practical experience.
11+ years of software design and development experience, including programming in Java or other object-oriented languages.
Proven experience building and maintaining large-scale distributed systems with high-volume data processing.
Work Location: Hybrid (home and LinkedIn office), as per business needs.
Strong expertise in designing infrastructure and web services at large scale with robust knowledge of distributed systems and software design patterns.
Experience with relational and NoSQL databases focusing on data modeling, performance tuning, and operational reliability.
Ability to work cross-functionally to evangelize and implement scalable platform/product improvements with a focus on technical leadership and craftsmanship.