Senior Software Engineer (Infrastructure) - HyperDX

ClickhouseClickhouse·Remote(United Kingdom (remote))
Software Development
AdjustExcel

WFA Digital Insight

As demand for real-time analytics and data warehousing grows, companies like Clickhouse are at the forefront. With a 250% year-over-year increase in ARR, Clickhouse is an exciting place to be for software engineers. The ability to work on infrastructure and cloud-native systems is a highly sought-after skill, making this role a great fit for those with a passion for scalable technology. Before applying, candidates should be aware of the need for strong problem-solving skills and experience with Kubernetes and infrastructure-as-code.

Job Description

About the Role

Clickhouse is seeking a Senior Software Engineer to join their team in the UK. As a Senior Software Engineer, you will be responsible for building the core platform for HyperDX, an open-source platform that transforms telemetry data into actionable insights.

Responsibilities

  • 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 using Kubernetes, Helm, and infrastructure-as-code.
  • 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.

How to Stand Out

  • Familiarize yourself with Kubernetes, Helm, and infrastructure-as-code to stand out in the application process.
  • Showcase your experience with scalable technology and problem-solving skills in your portfolio.
  • Be prepared to discuss your approach to designing and implementing backend systems and APIs.
  • Highlight your understanding of cloud-native systems and their application in real-time analytics and data warehousing.
  • Prepare examples of how you've driven automation in previous roles to improve efficiency and performance.

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