Bachelors or Masters degree in Computer Science IT or related field.
7 years of experience in application or technical support with at least 2-3 years in a leadership role
Proven experience with ticketing tools (e.g. JIRA Zendesk) SQL REST APIs log analysis and documentation.
Strong communication skills customer empathy and ability to manage across regions and time zones.
Familiarity with cloud environments (AWS GCP Azure) and scripting (e.g. Python Bash) is a plus.
Exposure to monitoring tools like Datadog Airflow Jupyter.
ITIL certification or experience with ITSM processes.
Experience working in AI/ML-intensive SaaS or data-heavy platforms.
Responsibilities:
Serve as the senior escalation point for the L1 Application Support team ensuring timely resolution of high priority or escalated issues.
Lead mentor and manage an L1 support team (minimum 5 staff) overseeing daily operations scheduling shifts and assigning case responsibilities.
Oversee first-line support for complex data science applications covering API integrations model outputs workflow errors system configurations and SQL-related issues.
Own knowledge base development ensuring consistent accurate documentation and team training to minimize recurrence of known issues.
Maintain SLA compliance across international time zones ensuring structured escalations to L2/L3 engineering where required.
Coordinate with global support teams to ensure 24/7 coverage; review handover across shifts and maintain continuity in support delivery.
Monitor and report on support team performance metrics (e.g. ticket volume resolution time SLA breach rate); lead post-incident reviews and drive process improvements.
Communicate with cross-functional stakeholders including clients product engineering and operations to escalate issues share trend insights and manage client expectations.
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