DevOps Engineer / Big Data Systems Administrator
OverviewAdbrain is at the forefront of the data-driven, multi-screen advertising revolution. Powered by the latest technologies in artificial intelligence and deep learning, the Adbrain platform turns data into actionable insights, allowing advertisers to connect in real-time to their audiences, no matter what device they’re on. We’re a high-growth enterprise technology company, backed by leading institutional investors, with offices in London and New York.As a DevOps Engineer/Big Data Systems Administrator, you will report directly to the CTO and be a key member of the Adbrain Artificial Intelligence team, responsible for executing Adbrain’s big data strategy.Core responsibilitiesBuilding and maintaining a Bleeding Edge technology stack on large AWS clustersWorking closely with Java/Scala developers and Data Scientists to build and manage an Artificial Intelligence distributed systemSetting up deployment pipelines including continuous integration &amp; delivery, and supporting the QA workflowManaging our NoSQL databasesMonitoring costs and managing budgets for the technology stack on the cloudPerforming uptime calculations and maintenance, and managing the SLAs
Title: DevOps Engineer / Big Data Systems Administrator
Salary: 70000-120000
Description: OverviewAdbrain is at the forefront of the data-driven, multi-screen advertising revolution. Powered by the latest technologies in artificial intelligence and deep learning, the Adbrain platform turns data into actionable insights, allowing advertisers to connect in real-time to their audiences, no matter what device they’re on. We’re a high-growth enterprise technology company, backed by leading institutional investors, with offices in London and New York.As a DevOps Engineer/Big Data Systems Administrator, you will report directly to the CTO and be a key member of the Adbrain Artificial Intelligence team, responsible for executing Adbrain’s big data strategy.Core responsibilitiesBuilding and maintaining a Bleeding Edge technology stack on large AWS clustersWorking closely with Java/Scala developers and Data Scientists to build and manage an Artificial Intelligence distributed systemSetting up deployment pipelines including continuous integration &amp; delivery, and supporting the QA workflowManaging our NoSQL databasesMonitoring costs and managing budgets for the technology stack on the cloudPerforming uptime calculations and maintenance, and managing the SLAs
Requirements: Mid-Senior level experience, Unspecified education
Fraudulent: No