December 6
• As a Staff Capacity Engineer, you will play a vital role in shaping and optimizing the infrastructure strategy for Dropbox's products and services. • You’ll use your expertise to lead impactful projects, drive cost efficiency, and create robust capacity plans to support our 800M+ user base across multiple product categories. • You’ll be crucial in areas such as strategic capacity planning, cost optimization, and large-scale hybrid cloud infrastructure management. • Your efforts will help maintain the stability and performance of our services while supporting long-term growth and cost efficiency. • You will have a major impact on the future of Dropbox’s infrastructure, helping drive scalability, reliability, and cost efficiency. • You’ll gain exposure to senior leadership and the opportunity to lead high-impact projects. This role offers a dynamic, collaborative environment where you can advance your expertise, contribute to innovative solutions, and build strong relationships across the organization.
• Bachelor’s degree in Computer Science, Industrial Engineering, or a related technical field, or equivalent practical experience • Minimum of 7+ years of hands-on experience in capacity engineering or a related field, focusing on designing, forecasting, and scaling infrastructure to support high-demand, large-scale environments • Advanced proficiency in SQL and data modeling for analyzing large datasets and generating insights to support capacity planning and infrastructure optimization • Strong experience in designing and implementing scalable systems and solutions, including storage, compute, and network infrastructure. Ability to architect end-to-end solutions for complex capacity challenges • Experience with AWS services and architecture, including but not limited to EC2, S3, RDS, and VPC, to support capacity planning and infrastructure management in cloud environments • Experience in cloud FinOps with strong capabilities in cost modeling, TCO analysis, and cost optimization for cloud and data center environments
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