• 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.

• Architect and design robust full-stack solutions to translate complex requirements. • Develop new RESTful APIs over existing core Java systems using Spring Boot. • Build and evolve dynamic, scalable user interfaces using Angular and PrimeNG. • Implement a comprehensive testing strategy, including Playwright E2E testing. • Own and optimize our automated CI/CD pipelines (ideally GitLab CI/CD).