Technical Solutions Engineer, Compute, Kubernetes (English)

Technical Solutions Engineer, Compute, Kubernetes (English)

Technical Solutions Engineer, Compute, Kubernetes (English)

Google

Hace 2 horas

Ninguna postulación

Sobre

MINIMUM QUALIFICATIONS

  • * Bachelor’s degree in Science, Technology, Engineering, Mathematics, or
  • equivalent practical experience.
  • * 5 years of experience troubleshooting technical issues, triaging customer
  • needs, and advocating for solutions. Experience in utilizing web services,
  • APIs, HTTP, and various architecture patterns.
  • * 5 years of experience applying code comprehension and debugging in Java, C++,
  • Python, etc. in environments virtualized and orchestrated with Kubernetes.
  • * Ability to communicate in English fluently to interact with regional
  • customers and stakeholders.

PREFERRED QUALIFICATIONS

  • * 5 years of experience in technical consulting on supporting large enterprise
  • customers with high service-level agreement requirements.
  • * 5 years of experience with the following: Web Tech, Systems Administration,
  • Developer Operations, Networking, Kubernetes.
  • * Experience with cloud computing (i.e., certifications, internships,
  • coursework, etc.) and debugging workload issues across large-scale,
  • multi-node environments.
  • * Experience working in public cloud (e.g., GCP) services and infrastructure.
  • * Experience with exploratory kernel debugging and performance analysis of
  • containerized systems.
  • * Experience in Computer Networking (e.g., TCP/IP, Routing, Load balancing,
  • etc.), with an understanding of basic web technologies (e.g., HTTP, HTML,
  • DNS, TCP, etc.).

ABOUT THE JOB

  • Our Technical Solutions Engineers own important customer issues and manage
  • customer tests, in addition to providing support (including level two support)
  • to our other support teams. In this role, you will be a part of a global team
  • that provides support to help customers seamlessly make the switch to Google
  • Cloud. When customers cannot resolve issues themselves, your job is to ensure
  • that we have the necessary tools and processes to resolve the issue. You will
  • troubleshoot technical problems for customers with a mix of debugging,
  • networking, system administration, updating documentation, and when needed,
  • coding/scripting. You will make our products easier to adopt and to use by
  • making improvements to the product, tools, processes, and documentation. Our
  • Technical Solutions Engineering team is focused on customer needs, and you will
  • help drive the success and business growth of Google Cloud by understanding and
  • advocating for our customers’ issues and challenges.
  • Google Cloud accelerates every organization’s ability to digitally transform its
  • business and industry. We deliver enterprise-grade solutions that leverage
  • Google’s cutting-edge technology, and tools that help developers build more
  • sustainably. Customers in more than 200 countries and territories turn to Google
  • Cloud as their trusted partner to enable growth and solve their most critical
  • business problems.

RESPONSIBILITIES

  • * Work as part of a team of engineers/consultants that globally ensure 24-hour
  • customer support. This will include a need to sometimes work non-standard
  • hours/shifts, and may include weekends as needed.
  • * Manage the customer’s problem through effective diagnosis, resolution, or
  • implementation of new investigation tools to increase productivity for
  • customer issues on Google Cloud Platform products.
  • * Act as a consultant and subject matter expert for internal stakeholders in
  • Engineering, Sales, and customer organizations to resolve technical
  • deployment obstacles and improve Google Cloud.
  • * Work with customers on their production Google Kubernetes Engine (GKE)/Anthos
  • deployments to resolve issues and achieve product readiness, availability,
  • and scale.
  • * Develop an understanding of Google Cloud's GKE/Anthos product technology and
  • underlying architectures by troubleshooting, reproducing, and determining the
  • root cause for customer reported issues, building tools, and faster
  • diagnosis.