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Domino Data Lab

Senior Technical Support Engineer

Domino Data Lab · Remote Barcelona, Spain

Posted 14 days ago

or apply directly on Domino Data Lab's site. We never take the application ourselves.

Is this posting real?

This role has been open
14 days
Domino Data Lab's roles stay open a median of 20 days
Reposted
No
Salary listed
No
0% of Domino Data Lab's roles list one
Ghost-job risk at Domino Data Lab
moderate
6 stale, 0 reposted of 24 open
Hiring momentum
33 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Domino Data Lab's own greenhouse board since 2026-08-03. Full hiring picture for Domino Data Lab.

About this role

As a Senior Technical Support Engineer at Domino, you will serve as the primary point of contact for enterprise customers, managing technical support cases from start to finish. Your responsibilities will include diagnosing and resolving issues related to Kubernetes infrastructure and machine learning platforms, writing knowledge base articles, and facilitating communication between customers and the engineering team. You will also participate in live troubleshooting sessions and contribute to a global support model across different time zones.

Our read on this posting2.6out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Domino Data Lab as an employer.

What you need

  • 3 to 5 years in enterprise technical support, solutions engineering, or a similar customer-facing technical role at a SaaS or data/AI platform company
  • Hands-on Kubernetes experience including pod lifecycle, kubectl, RBAC, namespaces, persistent volumes, and cluster-level troubleshooting
  • Strong Linux and command-line proficiency including log analysis, process management, file system navigation, and shell scripting
  • Familiarity with Python-based ML workflows including Jupyter, package management, model training and serving
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerized application environments
  • Methodical troubleshooting skills

Worth weighing

  • No salary listed
  • Remote position requires comfort with asynchronous communication across time zones
  • The role involves a weekend on-call rotation
  • The company emphasizes a growth mindset and continuous improvement, which may appeal to candidates looking for a dynamic work environment

Summarised from Domino Data Lab's posting. Read the full original.

Listed by Domino Data Lab on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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