• 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
Source ⇲
CodersRank Remote Jobs