Senior Software Engineer; Infrastructure - HyperDX

Senior Software Engineer (Infrastructure) – HyperDX

Join to apply for the Senior Software Engineer (Infrastructure) – HyperDX role at Click House
.

Recognized on the 2025 Forbes Cloud 100 list, Click House is one of the most innovative and fast‑growing private cloud companies. With over 2,000 customers and ARR that has more than quadrupled over the past year, Click House leads the market in real‑time analytics, data warehousing, observability, and AI workloads. Click House’s momentum was confirmed in its recent $350M Series C financing that included new tier‑one investors such as Khosla Ventures, BOND, IVP, Battery Ventures, and Bessemer Venture Partners.

We’re on a mission to transform how companies use data. Come be a part of our journey!

NOTE:

This position can be based in any EMEA/UK country where Click House has a hiring presence.

We’re on a mission to redefine how engineers monitor, debug, and scale their production applications with Hyper

DX now joining Click House. Hyper

DX transforms telemetry data into actionable insights, uniting logs, metrics, traces, and session replays to pinpoint root causes faster than ever before.

• Build the core platform: design and implement backend systems and APIs that power Hyper
  
  DX, 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. 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.

• A backend engineer who thrives on building high‑performance, distributed systems.
• Passionate about reliability, scalability, and creating systems that “just work” in production.
• Excited by observability, infrastructure, and making deployments effortless for both engineers and operators.
• A creative problem‑solver who thrives in a fast‑paced environment.
• Passionate about open source, developer tools, and the craft of building reliable systems.

• 5+ years of backend engineering experience.
• Strong Type Script and Node.js skills (bonus for additional languages).
• Deep understanding of APIs, event‑driven systems, and high‑throughput data pipelines.
• Proficiency in SQL and experience working with analytical databases (Click House experience a plus).
• Experience with Docker and Kubernetes, plus Helm for managing production deployments.
• Experience with infrastructure‑as‑code (Terraform, Pulumi, or similar).
• Familiarity with CI/CD pipelines, monitoring systems, and production‑grade alerting practices.
• A passion for building reliable, maintainable, cloud‑native systems.

• Expertise in distributed systems, ingestion pipelines, and columnar databases.
• Strong opinions on observability tools and a vision for making them 10x better.
• Experience scaling multi‑tenant SaaS platforms in AWS, GCP, or Azure.
• Knowledge of service meshes, networking, and advanced Kubernetes features.
• Background in developer tooling or open‑source contributions.
• Experience building SDKs or integrations in multiple languages.
• Familiarity with React
  
  JS and frontend development.

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations such as Los Angeles, CA; the San Francisco Bay Area, CA; the Seattle, WA area; and the New York City metro area, a premium market range may apply.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay…