A Bachelor’s Engineering degree in Computer Science and/or equivalent industry experience
2+ years of experience with BI systems, ideally with performance-tuning for searching in CDWs and in-memory databases at scale.
A mature, quality-oriented developer mindset backed by 5+ years of SDLC experience.
Should be able to dissect performance hits/expensive steps and determine origin of errors by reviewing the E2E flow of queries/results and determine the choke-points in stack.
Experience with secure delivery of search results with enterprise-scale environments would be ideal.
Good command in programming and building applications using RPCs (Thrift, gRPC and REST) and serialization protocols (Protobuf and JSON) with the ability to diagnose technical problems, debug code and automate tasks would be ideal.
Proficient in writing tooling in Python/PERL/AWK/BaSH.
Proven, insightful experience with Deployments, Application and Network Load Balancers, Proxy servers and Accelerated Network/Content/web services would be useful with black-box testing for Search issues.
Strong problem-solving skills, algorithmic thinking and a strong foundation in how systems ought to work.