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Tier-1 brand, common senior SWE title, mid-level experience and Bangalore location drive high applicant density.
Highly domain-specific distributed systems and backend infrastructure experience required.
Explicit 4+ years, distributed systems and backend expertise make filters strict.
Design, build, and operate online data infrastructure platforms powering LinkedIn's core applications.
Participate in design and code reviews, collaborate with peers and internal customers to define scope and build impactful features rapidly.
Mentor engineers, contribute to open-source infrastructure projects, and influence open-source communities.
Bachelor's degree in Computer Science or related technical discipline, or equivalent practical experience.
4+ years of industry experience in software design, development, and algorithms.
4+ years programming experience in object-oriented languages such as Java, Python, Go, or functional languages like Scala.
Role-based hybrid work location in Bangalore, India.
Experienced in developing distributed systems, large-scale data storage, backend APIs, and data infrastructure.
Familiarity with Hadoop ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto) and open-source projects in data management and distributed systems.
Has operated in fast-paced environments emphasizing system design, open-source contributions, and platform scalability.