6 days ago
AWS
Azure
Cloud
Distributed Systems
EC2
Google Cloud Platform
Java
Kafka
Kubernetes
Numpy
Pandas
Python
Scikit-Learn
Spark
SQL
Go
• 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
• 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
• Flexible work environment • Healthcare • Equity in the company • Time off • A $500 Home office setup • Employee-driven international mobility
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