
L1 Application Support Engineer
2 weeks ago
Requirements:
- Bachelors or Masters degree in Computer Science, Information Technology, or a related technical field.
- 1-3 years of experience in L1 technical support or application support, preferably for SaaS, AI/ML, or data-heavy platforms.
- Strong SQL knowledge for database queries and data validation.
- Understanding of REST APIs, JSON payloads, and web service interaction patterns.
- Experience using ticketing and project management tools (e.g., JIRA, OTRS, Zendesk).
- Familiarity with log analysis, basic command-line tools, and remote troubleshooting procedures.
- Excellent verbal and written communication skills with strong follow-up and customer handling experience across geographies.
- Strong problem-solving skills with a customer-first mindset.
- Ability to work in a 24/7 rotational shift environment.
- Exposure to cloud environments (AWS, GCP, Azure) and scripting (e.g., Python, Bash) is a plus.
- Preferred (Nice to Have) Understanding of ML model outputs, pipeline errors, or data processing workflows.
- Familiarity with tools like Jupyter, Airflow, Datadog, or other monitoring/logging platforms.
- Ability to contribute to knowledge base development and continual improvement of support playbooks.
Responsibilities:
- Act as the first point of contact for customers seeking technical assistance via phone, email, or chat across international time zones
- Deliver first-line support for complex data science applications, covering API integrations, model outputs, workflow issues, and system configurations.
- Organize and lead diagnostic sessions to gather logs, environment details, and reproducible error conditions.
- Use internal Knowledge Base (KBDB) to provide resolutions for known issues and support recurrence management.
- Create, manage, and update support tickets with detailed documentation of symptoms, diagnostics performed, and resolution steps.
- Maintain SLA compliance and perform structured escalation of unresolved, critical, or complex cases to L2 and L3 engineering teams.
- Coordinate across shifts and global teams to ensure continuity of support and closure of issues across time zones.
- Troubleshoot SQL-based issues, configurations, and data inconsistencies.
- Support onboarding and implementation activities, including product configuration, API certification, and environment validation.
- Document new or updated troubleshooting procedures and contribute to continuous improvement of support documentation.
- Monitor trends in issues to proactively raise patterns and feedback to product/engineering teams.
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