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Senior Technical Support Engineer

Remote, Barcelona·Added 9 days ago

Domino Data Lab

2 open roles

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Overview

Job details

Fully remote
Per the ad.

Requirements

Have the right to work in Spain
Domino Data Lab doesn't mention sponsorship in the ad.
Work in English
English is required, per the ad.
Have 3+ years of experience
Mid-level role.
University degree
“Bachelor's degree in computer science, engineering, or a related technical field (or equivalent experience)” — per the ad.

Requirements

What we're looking for

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: pod lifecycle, kubectl, RBAC, namespaces, persistent volumes, and cluster-level troubleshooting
Strong Linux and command-line proficiency: log analysis, process management, file system navigation, 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 troubleshooter: you form a hypothesis, test it, and adapt when the logs disagree with your theory
Clear written communicator: your case updates and KB articles don't require a follow-up to understand
Comfortable managing multiple open, time-sensitive cases without losing the thread on any of them
Works well asynchronously across time zones in a remote-first, globally distributed team
Bachelor's degree in computer science, engineering, or a related technical field (or equivalent experience)

The role

As a Technical Support Engineer, you're the bridge between our customers and our Engineering organization. You'll own technical support cases end-to-end, triaging issues across Kubernetes infrastructure, ML platform components, authentication, data connectivity, and model deployment, and ensuring every customer gets a clear and timely resolution. You'll also contribute to the knowledge base that helps the whole team scale.

What you'll do

Own support cases for enterprise customers across all severity levels, from initial triage through resolution, with clear communication and accurate expectations throughout
Diagnose and resolve Kubernetes and cloud infrastructure issues: pod failures, resource limits, persistent volumes, RBAC, ingress, and cluster-level diagnostics
Troubleshoot ML platform problems including workspace and job failures, environment build errors, model deployment issues, and data connector failures
File detailed, actionable bug reports and enhancement requests in Jira and act as the customer's advocate with Product and Engineering
Write and review knowledge base articles, how-to guides, and troubleshooting docs, building the reference layer that helps customers and teammates solve problems faster
Hand off cases cleanly in a follow-the-sun model across AMER, EMEA, and APAC, ensuring continuity for global enterprise accounts
Run live troubleshooting sessions with customers via video call and participate in EMEA weekend on-call rotation per team schedule

About Domino Data Lab

Domino Data Lab is a US-based enterprise software company that provides an Enterprise AI Platform for large, AI-driven organizations. The platform offers an integrated experience spanning model development, MLOps, collaboration, and governance, and is used by enterprises in industries such as life sciences, finance, public sector, retail, and manufacturing — including customers like Bayer, Moody's, and the U.S. Navy. Founded in 2013, the company is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors, and states that it helps over 20% of the Fortune 100.

It does, however, currently list open roles located in Spain, including Forward Deployed Engineer (Life Sciences), Senior Technical Support Engineer, and IT Support Engineer — customer-facing engineering and technical support positions. No specific Spanish office city is confirmed in the available sources, so candidates should verify the exact Spain location and working arrangements directly with the company.

Industry: Software
Founded: 2013
Website: domino.ai

Good to know if you are moving

Domino Data Lab was founded in 2013 and is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.
The company's platform is used by over 20% of the Fortune 100 for enterprise MLOps, data science, and AI.
Domino currently has open roles located in Spain, including Forward Deployed Engineer (Life Sciences), Senior Technical Support Engineer, and IT Support Engineer.

In their own words

About the company & team

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai

Additional information

We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
We believe in individuals who seek truth and speak the truth and can be their whole selves at work
We value all of you that believe improving is always possible. At Domino, everything is a work in progress - we can do better at everything
We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

All open roles at Domino Data Lab