Technical Support Engineer

6-7+ years of experience in technical support or similar roles within SaaS or the modern data stack ecosystem. Proven ability to troubleshoot complex technical issues across APIs, connectors, authentication, and integrations. Strong technical expertise in Kubernetes, containerized networking, and ArgoCD. Experience with cloud platforms: AWS, GCP, Azure. Advanced SQL for performance analysis and data troubleshooting. Java and API-level debugging, front-end troubleshooting, and Linux performance diagnostics. Ability to read and interpret complex codebases. Hands-on experience with modern data stack tools like Snowflake, Databricks, BigQuery, dbt, Fivetran. Familiarity with metadata management or data catalog platforms.

Troubleshoot complex product, integration, and data stack issues for customers. Reduce Engineering dependency through deep debugging and clear root-cause analyses. Collaborate with Product, Engineering, and Customer Success to resolve escalations. Strengthen processes by building reusable documentation, playbooks, and automation. Champion the customer experience with speed, clarity, and empathy. Continuously learn and grow as a product and data expert.