Overview
Senior Technical Support Engineer serving as the bridge between enterprise customers and the engineering organization. You will own technical support cases end-to-end, diagnose issues, and help scale support knowledge.
What you'll do
- Own enterprise support cases from initial triage through resolution with clear communication.
- Diagnose and resolve Kubernetes and cloud infrastructure issues (e.g., pod failures, RBAC, ingress).
- Troubleshoot ML platform problems such as workspace/job failures and model deployment issues.
- Write actionable bug reports/enhancement requests in Jira and advocate for the customer with Product/Engineering.
- Write and review knowledge base articles, how-to guides, and troubleshooting documentation.
- Hand off cases across AMER, EMEA, and APAC using a follow-the-sun model.
- Run live troubleshooting sessions via video call and participate in an EMEA weekend on-call rotation.
What you'll need
- 3 to 5 years of enterprise technical support, solutions engineering, or similar customer-facing technical role.
- Hands-on Kubernetes experience including pod lifecycle, kubectl, RBAC, namespaces, and troubleshooting.
- Strong Linux and command-line proficiency for log analysis and scripting.
- Familiarity with Python-based ML workflows such as Jupyter and model training/serving.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerized application environments.
- Bachelor’s degree in computer science/engineering (or equivalent experience).
Details
- Location: Remote Barcelona, Spain.
- On-call: EMEA weekend on-call rotation per team schedule.
Read the full description and apply on the company’s own careers page.
