Technical Support Engineer

Hybrid
Entry
🇺🇸 United States
Support Engineer
Technology

As a Technical Support Engineer, you will be an integral part of our customer support and success. You will work on troubleshooting our platform for Dynatrace clients, working in multiple technical environments, on multiple languages, throughout the digital ecosystem. In this role you will receive continuous opportunity to learn new technology and grow as a true “technologist”.

  • Troubleshooting is your passion
  • Enterprise application support experience
  • You are fascinated by technical challenges and think outside the box
  • Enjoy being creative and show a high-energy with a passion for winning
  • Strong communication and presentation skills
  • Self-motivated with a strong work ethic
  • Hands-on team player and proactive person of action
  • Passion for exchanging knowledge with other colleagues and suggesting product improvements

Requirements

Minimum Requirements

  • 1+ years of related technical work experience supporting container workloads (ex. Kubernetes, Openshift, Docker, etc.)
  • Bachelor’s degree or relevant technical related experience or training
  • Experience working with SaaS applications and infrastructure

Preferred Requirements

  • 3+ years of related technical work experience supporting Kubernetes applications
  • Experience with software support and troubleshooting
  • Knowledge of Operators and Deployments, Pod-to-Pod Networking, and Kubernetes Architecture
  • Experience of utilizing Helm to deploy container-based applications
  • Exposure to Java, .NET Development, or other programming languages
  • Relevant industry certification with a focus on container technology (ex. Certified Kubernetes Administrator, Docker Certified Associate, etc.)

This position will work in a 2- day per week Hybrid Schedule from the Denver office.

 

Dynatrace

Dynatrace

Dynatrace's platform combines broad and deep observability and continuous runtime application security with advanced AIOps to provide answers and intelligent automation from data.

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