March 13
🏢 In-office - Bay Area
• Build and maintain infrastructure for scraping logs, capturing metrics, enriching/processing data, and sending it to Elasticsearch • Build endpoint monitoring into APIs • Profile and tune Elasticsearch deployment to maintain performance • Develop internal tools written in Python as well as various shell-scripting languages (batch, powershell, and bash) • Develop procedures and standards for archival and backup of data stores • Work with developers and end-users to build queries, dashboards, and reports to support business objectives • Work with data scientists and engineers to develop and implement anomaly detection routines and machine-learning algorithms • Maintain a high level of industry knowledge and best practices; stay abreast of new tooling options; provide recommendations for enhancing, upgrading, deprecating monitoring stack as appropriate
• Demonstrated expertise with Elasticsearch ELK stack • Familiarity with medium- to high-volume logging, syslog, and its associated services • Experience writing SQL queries • Experience writing shell scripts • Solid understanding of core computer science fundamentals including data structures, algorithms, and computer architectures • Basic familiarity with statistics and data science • Strong communication skills; ability to write and maintain comprehensive, readable documentation
• Medical, dental, vision • Life insurance • 401K match • Gym facilities • PTO • Growth potential • Exciting and challenging work environment
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