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ARM
ARM Principal Application Performance Engineer United States, Washington, Seattle
Accountable for ensuring our performance tools provide the automated insights to solve performance issues. Establish the 'what do I do next' insights for performance workflows. Grow into a go-to expert...
Build and support applications and service infrastructure to augment and improve our automated test and device management platform with a focus on reliability and scale. Research and develop ways to...
Perform statistical analysis, develop visualizations and presentations to constructaccurateoperations data, including analysis and improvement roadmaps that drive technology yield milestones. Develop methods, processes, and systems toconsolidateand analyze diverse big data...
Serve as the subject matter expert in Cisco security solutions. Provide guidance and assist account teams within the territory in building solutions to address specific customer security needs. Understand business...
Bachelor or Master of Science degree in Computer Science or similar field, and a minimum 2 years of industry experience with a track record of successful projects. Proficiency in Obj-C,...
Familiarity with the mechanics behind infrastructure management. Familiarity with node management systems like SaltStack, Ansible, Puppet or similar solutions. Customer-focused thinking and strong problem solving with attention to detail. Strong...
Design, develop and implement highly scalable software features and infrastructure on our next-generation security platform ready for cloud native deployment from inception to completion. Work with different development and quality...
Accountable for ensuring our performance tools provide the automated insights to solve performance issues. Establish the 'what do I do next' insights for performance workflows. Grow into a go-to expert...
Data Engineers are responsible for designing, building, and maintaining the infrastructure and systems that support data management and analysis. They work closely with data scientists, data analysts and other stakeholders to ensure that data is properly collected, stored, and processed to meet the needs of the organization.
Data Engineers are well-versed in a variety of programming languages and technologies, including SQL, Python, and Java, as well as big data technologies like Hadoop and Spark. They have experience in data warehousing, data modeling, and data integration. They also have experience with cloud-based data storage and processing solutions like AWS Redshift and Google BigQuery.