• Build infrastructure capable of managing metadata for hundreds of billions of files, handling hundreds of petabytes of user data, and facilitating millions of concurrent connections. • Lead the expansion of Dropbox's function as the data-fabric, connecting hundreds of millions of applications, devices, and services globally, while also driving initiatives to enhance interoperability and adaptability across diverse ecosystems. • Measure and optimize Dropbox's analytics platform to maintain its status as one of the most advanced in the industry for extracting meaningful insights from vast data volumes. • Collaborate with cross-functional teams to innovate and implement solutions that enhance the performance, reliability, and security of Dropbox's infrastructure, ensuring a seamless experience for users worldwide. • Mentor and guide junior team members, sharing knowledge and best practices to cultivate a culture of continuous learning and professional growth within the infrastructure engineering team. • Stay current with emerging technologies and industry trends to continuously enhance Dropbox's infrastructure and maintain a competitive edge in the market.

• Engage and collaborate in diverse software development work, including design and implementation of distributed systems and services, maintenance and deployment of production workflows, development of tools and libraries, and more • Support our trading operations and promote our research effort through reliable delivery of high-quality and easily accessible data • Build scalable data infrastructure, robust storage and distribution systems, and fault-tolerant production-critical pipelines • Lead complex projects from start to finish, including gathering requirements, creating a robust software design, reasoning about supporting or dependent technologies, and communicating effectively with stakeholders, collaborators, and teammates. • Provide technical guidance to engineering and research staff • Provide mentorship and support to help grow other team members and up-level the team

• Build the core platform: Design and implement backend systems and APIs that power HyperDX, enabling engineers to ingest, query, and analyze observability data at massive scale. • Scale deployments and infrastructure: Architect, deploy, and maintain cloud-native systems that ensure reliability, scalability, and performance. You’ll use Kubernetes, Helm, and infrastructure-as-code to make deployments simple and resilient. • Ensure maintainability and operational excellence: Define best practices for CI/CD, monitoring, logging, and alerting. Drive automation across testing, scaling, and incident response to keep our platform healthy and developer-friendly. • Engineer for scale: Design and operate ingestion and data processing pipelines that remain performant, resilient, and observable—even as we grow to petabyte-level workloads. • Engage with the community: Collaborate with open-source contributors and customers, solve their challenges, and incorporate their feedback into our roadmap.

• Build the core platform: Design and implement backend systems and APIs that power HyperDX, enabling engineers to ingest, query, and analyze observability data at massive scale. • Scale deployments and infrastructure: Architect, deploy, and maintain cloud-native systems that ensure reliability, scalability, and performance. You’ll use Kubernetes, Helm, and infrastructure-as-code to make deployments simple and resilient. • Ensure maintainability and operational excellence: Define best practices for CI/CD, monitoring, logging, and alerting. Drive automation across testing, scaling, and incident response to keep our platform healthy and developer-friendly. • Engineer for scale: Design and operate ingestion and data processing pipelines that remain performant, resilient, and observable—even as we grow to petabyte-level workloads. • Engage with the community: Collaborate with open-source contributors and customers, solve their challenges, and incorporate their feedback into our roadmap.