ClickHouse
Senior Software Engineer, Data- Remote
ClickHouse, Los Angeles, California, United States, 90079
The Cloud AutoScaling team is dedicated to implementing robust vertical and horizontal auto-scaling capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the auto-scaling infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability.
What will you do?
Build a cutting-edge Cloud Native platform on top of the public cloud.
Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations.
Work on the autoscale and Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling.
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
About you:
You have 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
Hands-on experience building and estimating statistical models and time-series forecasting with large-scale, real-world datasets.
Experience using SQL, Python (Pandas, NumPy, Scikit-Learn, etc.)/R or equivalent.
Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools).
You are passionate about solving data problems at Scale.
Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2).
You have excellent communication skills and the ability to work well within and across engineering teams.
You are a strong problem solver and have solid production debugging skills.
Bonus Points:
Software development experience in Go, C/C++, Java, or similar.
Experience developing cloud infrastructure services, preferably with Kubernetes.
You are a full-cycle developer with strong ownership and experience building and operating high-scale, distributed systems across the full software life cycle.
#LI-Remote
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What will you do?
Build a cutting-edge Cloud Native platform on top of the public cloud.
Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations.
Work on the autoscale and Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling.
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
About you:
You have 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
Hands-on experience building and estimating statistical models and time-series forecasting with large-scale, real-world datasets.
Experience using SQL, Python (Pandas, NumPy, Scikit-Learn, etc.)/R or equivalent.
Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools).
You are passionate about solving data problems at Scale.
Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2).
You have excellent communication skills and the ability to work well within and across engineering teams.
You are a strong problem solver and have solid production debugging skills.
Bonus Points:
Software development experience in Go, C/C++, Java, or similar.
Experience developing cloud infrastructure services, preferably with Kubernetes.
You are a full-cycle developer with strong ownership and experience building and operating high-scale, distributed systems across the full software life cycle.
#LI-Remote
#J-18808-Ljbffr