# Senior Cloud Software Engineer - AutoScaling

**Company:** [Clickhouse](https://hotfix.jobs/companies/clickhouse)
**Location:** Remote
**Role:** DevOps / SRE
**Salary:** $133k – $232k/yr
**Experience:** 5+ years
**Skills:** Kubernetes, Go, C++, Java, AWS, GCP, Azure, EC2, Spark, Kafka, Python, pandas, NumPy, Pagerduty, Controller Runtime
**Posted:** 2026-03-27

> Develops and maintains auto-scaling infrastructure including Kubernetes operators for ClickHouse cloud platform. Requires 5+ years building scalable distributed systems, expertise in Go/C++/Java, public clouds (AWS/GCP/Azure), and data tools like Spark/Kafka.

## Job Description

## Responsibilities
- Build a cutting-edge cloud-native database platform on top of the public cloud.
- Work on the autoscaling and our in-house Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling.
- Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations.
- Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support auto-scaling use cases as well as other internal infrastructure improvements.
- Architecting and building a robust, scalable, and highly available distributed infrastructure.

## Requirements
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Experience building operators with **Kubernetes**, controller runtime.
- Production experience with programming languages like **Go**, **C++** or **Java**.
- You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver.
- Expertise with a public cloud provider (**AWS**, **GCP**, **Azure**) and their infrastructure as a service offering (e.g., **EC2**).
- Experience with Data Storage, Ingestion, and Transformation (**Spark**, **Kafka** or similar tools).
- You are passionate about solving data problems at Scale.

## Nice-to-haves
- Experience with **Python** (uv, fastAPI) Data Science (**Pandas**, **NumPy** etc).

## Compensation
- Typical starting salary in the US: **$133,450—$197,200 USD**.
- In US Premium Markets: **$157,000—$232,000 USD**.

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**Canonical:** https://hotfix.jobs/jobs/34efbbf8-0ca4-42fe-9fa5-1ae9e5356737