Senior Software Development Engineer, Ring Data Science and Engineering
Amazon.com
Ring is seeking a self-directed Senior Software Development Engineer to design, implement, and support our cloud-based data processing systems. This role will span the spectrum of data-driven services, from building services to ensure customer data privacy to researching and implementing infrastructure to operate large language models at scale. As a senior member of our team you will assess and recommend designs, implement high-performance solutions, support security initiatives, and contribute significantly to the technical vision and future of our real time data processing infrastructure.
Key job responsibilities
• Lead large projects and work with other SDEs to optimize data infrastructure across services and technologies
• You will be responsible for understanding requirements, designing, and creating reliable, distributed data pipelines and storage techniques as well as building intuitive data products that allow our stakeholders to easily leverage data in a self-service manner
• Show thought leadership and partner effectively with our engineering teams, analysts, and business partners to push team and organization goals forward
• Support Data Science projects and initiatives and partner with data scientists to operationalize their products
• Power and support the most important and insightful data collection systems in the company
• Take pride in the hygiene and quality of your code and pipelines
• Define KPIs and maintain important company SLAs
• Provide leadership to teams implementing and maintaining operational excellence
About the team
The Ring Data Science and Engineering team owns products and services for the growing analytics and operational needs of Ring. Our portfolio of services allow centralized data collection, real-time routing, and integration across both analytic and operational use cases. Our services support over 50 million devices and millions of mobile applications. We operate at a scale few other companies will ever achieve.
Key job responsibilities
• Lead large projects and work with other SDEs to optimize data infrastructure across services and technologies
• You will be responsible for understanding requirements, designing, and creating reliable, distributed data pipelines and storage techniques as well as building intuitive data products that allow our stakeholders to easily leverage data in a self-service manner
• Show thought leadership and partner effectively with our engineering teams, analysts, and business partners to push team and organization goals forward
• Support Data Science projects and initiatives and partner with data scientists to operationalize their products
• Power and support the most important and insightful data collection systems in the company
• Take pride in the hygiene and quality of your code and pipelines
• Define KPIs and maintain important company SLAs
• Provide leadership to teams implementing and maintaining operational excellence
About the team
The Ring Data Science and Engineering team owns products and services for the growing analytics and operational needs of Ring. Our portfolio of services allow centralized data collection, real-time routing, and integration across both analytic and operational use cases. Our services support over 50 million devices and millions of mobile applications. We operate at a scale few other companies will ever achieve.
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