Senior Cloud Platform Engineer — Remote-Friendly

Openkrill

United States

Remote

USD 160,000 - 230,000

Full time

9 days ago
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Benefits offered by this job

Remote-friendly
Healthcare
Equity
Flexible time off
Home office stipend
Global offsites

Job summary

ClickHouse is looking for a senior software engineer to join the Product Metrics team. You will help design, build, operate, and scale petabyte‑scale systems that provide reliable data for internal billing and customer dashboards.

The role emphasizes ownership, on‑call responsibility, and cross‑team collaboration in a fully remote environment. Strong Go, distributed systems, and Kubernetes experience are essential.

Qualifications

  • 5+ years of software development experience building and operating scalable, fault-tolerant distributed systems.
  • 2+ years of software development using Golang.
  • Experience with AWS, GCP or Azure.
  • Experience with storing and processing large data using ClickHouse.
  • Experience with Kubernetes, Helm, ArgoCD, Temporal and Terraform.

Responsibilities

  • Take an active part in determining the roadmap for the Product Metrics team.
  • Collaborate within the team to deliver new features and iterate on them.
  • Design, build, operate, and maintain business‑critical petabyte‑scale systems.
  • Ensure performance, reliability, availability and cost efficiency of Product Metrics.
  • Mentor teammates, participate in design discussions, and collaborate across teams.
  • Contribute to on‑call rotations and own the services you run.

Skills

Golang
Distributed systems
Remote collaboration

Tools

Kubernetes
Helm
ArgoCD
Terraform
ClickHouse
Temporal
Kafka

Job description

ClickHouse is looking for a senior software engineer to join the Product Metrics team. You will help design, build, operate, and scale petabyte‑scale systems that provide reliable data for internal billing and customer dashboards.

The role emphasizes ownership, on‑call responsibility, and cross‑team collaboration in a fully remote environment. Strong Go, distributed systems, and Kubernetes experience are essential.

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