Description:

IBM is looking for a passionate and tech-savvy Technical Support Engineer to join its IBM Cloudability support team. This role involves providing complex technical support for SaaS solutions, working closely with customers, and ensuring operational maintenance and premium support services are delivered at the highest standard.

You will be part of a global 24/7 technical support team that collaborates with Customer Success Managers and cross-functional departments to maintain strong client relationships and ensure their success with IBM products. The role blends technical expertise, problem-solving skills, and customer engagement.

Key responsibilities:

• Supporting and maintaining Apptio SaaS customers, resolving technical issues quickly.
• Managing client operations, such as loading new data and validating dashboard/report outputs.
• Building and maintaining excellent customer relationships to achieve top satisfaction levels.
• Working in a collaborative, startup-like environment to exceed customer expectations.
• Applying business and technical analysis to solve complex problems and promote best practices.
• Coordinating with other IBM teams for smooth client support.

Key Technical Skills:

Technical support, System administration, HTML, SQL, Databricks, AWS certification, GCP certification, Azure certification

Requirements:

• Bachelor’s Degree (preferably in Engineering, Computer Science, or MIS).
• Minimum 3 years in technical support or system administration.
• Basic programming skills (HTML, SQL).
• Familiarity with cloud platforms (AWS, GCP, Azure) – certification preferred.
• Understanding of Databricks.
• Strong communication and problem-solving skills.
• Ability to work in a fast-paced, customer-focused environment.

Why IBM?

IBM Software infuses AI and automation into core business operations, making organizations more productive and resilient. As part of IBM, you will be encouraged to innovate, take ownership, and grow professionally while working with cutting-edge technologies like AI, hybrid cloud, and data analytics.