Senior Technical Support Engineer

New

DominoData Science AI

Remote Barcelona, Spain, Follow-the-sun model across AMER, EMEA, and APAC; participation in EMEA weekend on-call rotationFull-TimeSenior

Salary not disclosed

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Job Details

3 to 5 years in enterprise technical support, solutions engineering, or a similar customer-facing technical role.
Hands-on Kubernetes experience including pod lifecycle, kubectl, RBAC, and cluster-level troubleshooting.
Strong Linux and command-line proficiency including log analysis, process management, and shell scripting.
Familiarity with Python-based ML workflows (Jupyter, package management, model training and serving).
Experience with cloud platforms (AWS, GCP, or Azure) and containerized application environments.
Methodical troubleshooting skills with the ability to form and test hypotheses.
Clear written communication ability for case updates and technical documentation.
Ability to manage multiple time-sensitive cases simultaneously.
Experience working asynchronously across time zones in a remote-first team.
Bachelor's degree in computer science, engineering, or a related technical field (or equivalent experience).

Own support cases for enterprise customers across all severity levels, from initial triage through resolution.
Diagnose and resolve Kubernetes and cloud infrastructure issues such as pod failures, RBAC, and cluster-level diagnostics.
Troubleshoot ML platform problems including workspace, job failures, environment builds, and model deployment.
File detailed, actionable bug reports and enhancement requests in Jira.
Write and review knowledge base articles, how-to guides, and troubleshooting documentation.
Hand off cases cleanly in a follow-the-sun model across global regions.
Run live troubleshooting sessions with customers via video call and participate in EMEA weekend on-call rotation.

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