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.
133k – 232k/yr
Remote5+ YOEDevOps / SRE
About the role
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.
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