Staff Cloud Support Engineer - Data Platform
Snowflake- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess at least 5 years of advanced customer-facing technical support experience, along with experience with MySQL or MySQL-like databases and SQL Query Optimization. A solid sysadmin/QA/Testing skill set is required, including comfort with Linux, system I/O utilization, network throughput measurement, and navigating large log files. Bonus points are given for familiarity with Kubernetes and prior Testing/QA experience, as well as experience with scripting or coding languages such as Python, Bash, or Go.
This role involves providing email and live technical support to enterprise customers, acting as the first line of defense for complex technical issues and bug diagnosis, while also identifying and reproducing product issues, performing QA, and submitting bug reports. Collaboration with software developers, sales engineers, and technical account managers is essential, alongside efforts to streamline Support and Engineering processes, authoring documentation, and improving team efficiency. Ensuring a positive customer support experience is a key responsibility, along with participating in on-call rotations that may include weekends and holidays.
Relational database for real-time analytics
SingleStore provides a modern relational database that supports both cloud and on-premises environments, focusing on real-time analytics and insights for applications. Its main product, SingleStore Helios, is designed to efficiently handle both transactional (OLTP) and analytical (OLAP) workloads, allowing for fast data processing and scalability. Unlike many competitors, SingleStore emphasizes speed and the ability to provide immediate insights, with features like fast vector search and built-in data integration services. The company operates on a subscription-based model, giving clients the flexibility to choose their deployment method based on their needs. The goal of SingleStore is to empower businesses across various industries to leverage big data and real-time insights for better decision-making and innovation.