Skytap engineer

Role Summary/Purpose

• This position is primarily responsible for supporting existing VM infrastructure on Skytap as well as creating new virtual machines for training department.
• The person on this role will be responsible to deploy correct virtual machines for the correct course for the students.
• The role includes working with trainers and subject matter experts to create new virtual machines as well as maintain existing VMs.
• Monitor Skytap platform to ensure effective usage with cost saving measures are applied.
• Monitoring Skytap programmatically and taking action to resolve issues.
• Must be willing to work in flexible shifts to support global teams. Primary shift: 3pm 12am IST with flexibility

Essential Responsibilities

- Experience deploying, configuring, troubleshooting, and performance tuning Skytap.

- Work with training team and SMEs to create virtual labs for new courses as well as maintain and upgrade existing VMs.

- Be familiar with Virtualization technologies and understand technical requirements to create and maintain VMs on Skytap.

- Learn to assist internal teams with building multi-tier and other complex environments in Skytap.

- Provide support to internal and external customers on technical issues.

- Be the first line of support to our learners and troubleshoot any issues with VMs.

- Write technical documents and solutions guides.

- Understand Virtualization, and how it can be used to address end-user/learner challenges.

- Administer Skytap environment to ensure learners are provided with correct labs and cost-effective methods are applied.

Qualifications/Requirements

- Bachelordegree in computer science.

- Minimum 5 yearsexperience of similar work experience.

- Knowledge/experience with at least one scripting language (Python is a plus)

- API and 3rd party integrations. Skytap integration with Docebo is a huge plus.

- Solid understanding of infrastructure concepts, including server hardware (x86 and/or IBM Power), storage, containerization (docker/kubernetes), and cloud platforms (Azure/AWS).

- Version Control Systems (i.e., git and github/gitlab)

- CI/CD tools (i.e., github actions or jenkins)

- Visualization tools (i.e., grafana or PowerBI)

- Configuration automation and deployment orchestration (i.e., ansible, puppet, chef)

- Knowledge of both Windows and Linux systems.

- Deploying software using containers (docker, kubernetes)

- Experience with machine learning and AI is a plus

Desired Characteristics

- Strong oral and written communication skills.

- Significant programming experience.

- Experience in deploying professional products to cloud-based infrastructure