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Known enterprise brand plus generalist, early-career support role increases competition.
Skills (SQL, Azure, Kubernetes, monitoring) are transferable across industries with moderate adjustment.
Multiple required platform and tooling skills raise shortlisting strictness despite no explicit years.
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Provide high-quality application support by resolving incidents and investigating proactive monitoring alerts, ensuring SLA/SLO compliance and customer satisfaction.
Troubleshoot issues related to applications, databases, APIs, integrations, and mobile applications within a cloud-based SaaS environment.
Participate in 24x7 shift rotations including out-of-hours support and contribute to knowledge base articles and operational improvements.
Foundational knowledge of SQL, Oracle, and database querying.
Exposure to application debugging, troubleshooting, and API integration platforms like MuleSoft or similar.
Familiarity with cloud technologies specifically Microsoft Azure, Kubernetes, containerized applications, and application monitoring tools like Kibana, Splunk or AppDynamics.
Work Experience Required: Not explicitly mentioned in the JD.
Comfortable working in a fast-paced, global, shift-based 24x7 customer support environment.
Capable of collaborating effectively with cross-functional, global teams to resolve technical issues and improve operations.
Technical orientation towards cloud SaaS ecosystems with continuous learning focus on automation, monitoring, and application support.