Customer Support Engineer
New
J
JobgetherData infrastructure
Based in the United States; work remotely within the United States, Pacific Time Zone business hoursFull-Time
SalaryAnnual salary ranging from $95,000 to $125,000
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Job Details
- Required Skills
- AWSDockerSQLGCPHadoopKubernetesLDAPMicrosoft AzureSparkLinux
Requirements
- Experience deploying, troubleshooting, and debugging complex software systems, preferably in enterprise customer support, technical support engineering, systems engineering, or a related technical role.
- Familiarity with big data ecosystems and distributed data processing technologies, including Hadoop, data lakes, and Apache Spark.
- Understanding of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Knowledge of Docker and Kubernetes for deploying, operating, and troubleshooting distributed applications.
- Practical Linux skills, including investigating system behavior, analyzing logs, and troubleshooting configuration, performance, or connectivity problems.
- Understanding of security principles, authentication and authorization mechanisms, LDAP, OAuth 2.0, and SSL/TLS.
- Familiarity with DBMS concepts and SQL, including investigating data access and query-related issues.
- Exposure to Java, Python, Bash, and SQL; navigating a complex Java codebase or using scripting to automate troubleshooting is an advantage.
- Ability to support customers and collaborate with colleagues during Pacific Time Zone business hours.
Responsibilities
- Respond to customer inquiries about enterprise and cloud-based data platforms through chat, email, and live troubleshooting sessions, meeting established SLAs.
- Diagnose technical issues involving configuration, security, authentication, authorization, integrations, database connectivity, and distributed clusters.
- Analyze problems across Linux environments, cloud infrastructure, containerized applications, and distributed data systems to identify root causes.
- Coordinate with engineering teams on advanced technical issues, manage escalations, and communicate progress to customers.
- Explain technical concepts clearly, set expectations, and maintain responsive customer relationships.
- Contribute to customer-facing documentation, troubleshooting guides, and self-service knowledge resources.
- Partner with pre-sales, post-sales, engineering, and other internal teams to align support efforts and share insights.
- Identify recurring issues, document findings, and recommend improvements to support processes and troubleshooting practices.
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