• 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.

• 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.