Description:

Gurobi Optimization is seeking a Cloud Support Engineer to join their Technical Advisory and Support team.
The role involves addressing technical inquiries from a global customer base primarily through an online ticketing system and providing phone support for customer queries.
Responsibilities include assisting customers with product installation, licensing, architecture setup, and troubleshooting issues related to Cloud and Compute Server products.
The engineer will support various customer-facing online services, focusing on incident resolution, efficiency improvements, and enhancing the user experience.
Development of technical articles and documentation for the Gurobi website is expected to serve as valuable resources for users.
The role offers opportunities to showcase product features through presentations at technical conferences and webinars.
Collaboration with a highly skilled team is essential, with active participation in knowledge-sharing sessions, team meetings, and discussions to foster continuous learning.

Requirements:

A Bachelor's degree in Computer Science or an equivalent discipline is required.
A Master's degree in Computer Science or equivalent discipline/experience is preferred.
Proficiency in both written and verbal English is necessary.
Candidates must be proficient in high-level programming languages such as Python, Java, or C++.
Expertise in system administration is required.
A strong commitment to continuous learning and effective communication abilities are essential.
Knowledge of mathematical optimization is preferred.
Familiarity with cloud computing platforms like Amazon AWS and Microsoft Azure is essential.
Understanding of cloud security, networking, and best practices is vital.
Proficiency in container technologies like Docker and Kubernetes is required.
Experience with databases, particularly MongoDB, is necessary.
Familiarity with HTTP and REST APIs is expected.
Skills in web-based system network security are required.

The position offers the opportunity to work remotely from anywhere in the USA.
Employees will be part of a mission-driven company focused on mathematical optimization and impactful business solutions.
There is a strong emphasis on collaboration and continuous learning within a highly skilled team.
Employees can engage in knowledge-sharing sessions and contribute to the development of technical resources.
Opportunities to present at technical conferences and webinars are available, enhancing professional visibility and growth.
The company promotes a healthy work/life balance while focusing on meeting professional objectives.