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RedisRedis

Technical Support Engineer

Troubleshoot and resolve complex Redis Enterprise issues for customers across cloud and on-premises environments. The role requires seven or more years of enterprise software experience, strong Linux, networking, scripting, and problem-solving expertise.

About the job

Responsibilities

  • Troubleshoot and resolve complex software issues with customers, reproducing issues and replicating customer environments as needed.
  • Document issues and contribute to internal team documentation.
  • Collaborate with Engineering to provide solutions.
  • Provide root cause analysis.
  • Analyze performance questions across the data path, including networks, for cloud and on-premises deployments.
  • Provide technical expertise during testing, deployment, and upgrades of Redis software.
  • Manage critical customer issues and facilitate communication among customers, CloudOps, Engineering, Product, TAMs, and Sales.
  • Advocate for customers by driving timely issue resolution, handling escalations, and helping customers maximize the value of their Redis subscription.
  • Participate in new product development, customer training, and other support-related activities.

Requirements

  • At least seven years of relevant experience in the enterprise software industry.
  • Strong background in scripting or programming languages.
  • Working knowledge of cloud-based and on-premises environments.
  • Expert working knowledge of Linux/Unix and networking, including TCP/IP.
  • Excellent written and verbal communication and presentation skills in English.
  • Strong technical background with excellent problem-solving and multitasking skills.
  • High availability and commitment to customers.

Nice-to-haves

  • Bachelor of Science in Computer Science or Information Systems.
  • Experience with NoSQL databases, especially Redis.
  • Experience with container orchestration environments such as Kubernetes.

Skills

Redis, Linux/Unix, TCP/IP, Kubernetes, Nosql Databases, Cloud Platforms, Container Orchestration, Scripting, Programming Languages, Root Cause Analysis

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