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Technical Support Engineer

Technical Support Engineer providing break/fix and technical support for enterprise data platform customers using Trino/SEP/Galaxy. Requires 5+ years support experience and 3+ years with Big Data, Docker, Kubernetes, and cloud technologies.

San Francisco, CASupport EngineeringOnsite5+ YOE

About the role

Responsibilities

Technical Support

  • Provide support for standard and custom deployments
  • Answer break/fix and non-break/fix technical questions through SFDC ticketing system
  • Efficiently reproduce reported issues by leveraging tools (minikube, minitrino, docker-compose, etc.), identify root causes, and provide solutions
  • Open SEP and Galaxy bug reports in Jira and feature requests in Aha!

LTS Upgrades

  • Provide upgrade support upon customer request
  • Ensure customer is on a supported LTS version at the time of request
  • Communicate unsupported LTS requests to the Account team as these require PS services

Monthly Technical Check-ins

  • Conduct regularly scheduled technical check-ins with each BU
  • Discuss open support tickets, provide updates on product bugs and provide best practice recommendations based on observations and ticket trends
  • Ensure customer environments are on supported LTS versions

Knowledge Sharing/Technical Enablement

  • Contribute to reference documentation
  • Lead peer training
  • Act as consultant to content teams
  • Own personal technical education journey

Project Involvement

  • Contribute to or drive components of departmental and cross-functional initiatives

Partner with Leadership

  • Identify areas of opportunity with potential solutions for inefficiencies or obstacles within the team and cross-functionally
  • Provide feedback to manager on continued education opportunities, project ideas, etc.

Requirements

  • 5+ years of support experience
  • 3+ years of Big Data, Docker, Kubernetes and cloud technologies experience
  • Ability to travel 25% for new hire onboarding, team offsites, customer engagements, and company events

Skills

  • Big Data (Hadoop, Data Lakes, Spark)
  • Docker and Kubernetes
  • Cloud technologies (AWS, Azure, GCP)
  • Security - Authentication (LDAP, OAuth2.0) and Authorization technologies
  • SSL/TLS
  • Linux Skills
  • DBMS Concepts/SQL Exposure
  • Languages: SQL, Java, Python, Bash

Skills

DockerKubernetesAWSAzureGCPHadoopSparkSQLJavaPythonBashLinuxLdapOauth2.0Ssl/Tls

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