I was looking at some of the job postings in LinkedIn on LinkedIn . I am kinda interested for the data infra team , but looks like the system and infra track has the following subteams Data Infra Search, networks, analytics Service Relevance Infra Are all of these teams or huge BUs What are some of the good ones?
Systems and infra = data infra || Hadoop || service infra
Careers
Search, Network and Analytics doesn't exist anymore. Around 2015 it got split into Relevance Infra and Data Infra. They are good, hard working engineers. Service Infra is interesting, but they just deal with stateless infra (check Rest.Li on GitHub). Other teams build on top of that. I'd take Relevance Infra, it's the team with the highest upside, and their leader is pretty awesome.
Thank you so much 😊
Data infra is home to all modern distributed systems - Kafka, Samza, Brooklyn, databus, helix, Voldemort, Venice, espresso, Pinot, gobbling, vector. high engineering quality, high bar and high impact.
And what do you suggest to focus more to practice for interviweing with them? Dp/graphs heavy?
Minimum: Concurrency, thread safety, locking, data structure, operating system basics such as proc/mem/fs/networking; system scale out, fault tolerance, high availability; Advanced: different types of data store, streaming systems and their underlying architecture/protocols and desired user scenario
None
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