Talented engineering leader with experience developing automation or is a power user of one or more of the data storage technologies like MySQL, Vitess, Hadoop HBase, Kafka, Spark, and Elastic Search.
Willingness and ability to work with the user base, in this case, other developers, to define and build tools that make their lives easier.
Interest in working with and supporting infrastructure at scale.
Ability to solve complicated technical problems and analyze tradeoffs.
Demonstrated pragmatic decision making and problem-solving abilities.
A leader with a data-driven mindset for solving problems.
Responsibilities:
Build a comprehensive set of intelligent features to solve complex problems on our data platform and services at scale, with the highest possible reliability.
Drive high impact data infrastructure/pipeline, services, and upgrade/migration projects from start to finish.
Automate the deployments, configuration, and recoverability of data stores to efficiently scale storage systems.
Improve client-side interaction with data stores using analysis tools and wrapper client interfaces.