Senior Cloud Support Engineer
snowflake
Job Description
AS A SENIOR CLOUD SUPPORT ENGINEER AT SNOWFLAKE, YOU WILL:
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Drive technical solutions to complex problems providing in-depth analysis and guidance to Snowflake customers and partners using the following methods of communication: email, web, and phone
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Adhere to response and resolution SLAs and escalation processes in order to ensure fast resolution of customer issues that exceed expectations
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Demonstrate good problem-solving skills and be process-oriented
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Utilize the Snowflake environment, connectors, 3rd party partner software, and tools to investigate issues
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Document known solutions to the internal and external knowledge base
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Report well-documented bugs and feature requests arising from customer-submitted requests
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Partner with engineering teams in prioritizing and resolving customer requests
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Participate in a variety of Support initiatives
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Provide support coverage during holidays and weekends based on business needs
OUR IDEAL SENIOR CLOUD SUPPORT ENGINEER WILL HAVE:
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Bachelor’s. or Master’s degree in Computer Science or equivalent discipline
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5+ years experience in a Technical Support environment or a similar technical function in a customer-facing role
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Excellent writing and communication skills in English with attention to detail
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Ability to work in a highly collaborative environment across global teams
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In-depth knowledge of major cloud service providers' ecosystems.
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Experience in a designated customer-focused support role providing a personalized support experience with a deeper knowledge of the customer environment
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Ability to reproduce and troubleshoot complex technical issues.
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Work with customers to address any programmability-related issues (e.g. dev-ops, kubernetes etc).
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Intermediate level of understanding of LLMs and their applications in an enterprise.
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Investigate, evaluate, and compare multiple Large Language Models (LLM) to deliver maximum value to Snowflake’s customers.
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Knowledge of existing language runtimes—Python in particular and relevant ML libraries—to understand and troubleshoot customers' use cases built on Snowflake’s Cortex and ML stack.
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Familiarity with MLOps practices and tools.
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Familiarity with database-related concepts and writing SQL queries.