Support Engineer, KNIME

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Linux

Azure

Windows

REST API

Mid and Senior level

Austin

Remote from US

More information about location

Analytics & AI for data management

Be an early applicant

Analytics & AI for data management

201-500 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningSaaSData AnalysisNo-Code

Be an early applicant

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Linux

Azure

Windows

REST API

Mid and Senior level

Austin

Remote from US

More information about location

201-500 employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningSaaSData AnalysisNo-Code

Company mission

To build the most intuitive and widely-used environment for data science and give the community easy access to powerful capabilities.

Job

Company

Role

Who you are

You are a technically skilled professional with expertise in Kubernetes, Docker, and RESTful APIs
You have experience administering software solutions on Linux and/or Windows platforms, with a strong background in software support, ticket management, and escalation processes
Your knowledge includes JVM, Kubernetes deployments, Identity Providers (e.g. , Keycloak), LDAP, SQL, and cloud infrastructures like AWS, Azure, and Google Cloud
You have exceptional English proficiency in both written and verbal communication
You communicate technical concepts clearly to a diverse audience and are self-organized, curious, and eager to learn
While a basic understanding of German is a bonus, your strengths lie in your technical expertise and adaptability

What the job involves

Right now, we are looking for a Support Engineer (m/f/d) to join our team at KNIME in Austin, TX or Remote US locations
This position will start out working from 07.00 AM- 04.00 PM PDT, and transition to 11.00 AM - 08.00 PM PDT after 3 months
At its core, your role as a Support Engineer at KNIME, revolves around overcoming technical challenges while maintaining effective communication with our customers and internally
Your primary responsibilities encompass classifying, prioritizing, analyzing, troubleshooting, and ultimately resolving support tickets via our ticketing system and forum
Your focal point will be providing outstanding support for our KNIME Business Hub and KNIME Analytics Platform
You may find yourself engaging in calls to troubleshoot issues and occasionally building KNIME workflows to facilitate resolution (don't worry, we'll provide guidance as you learn)
Your contribution to process refinement and tool enhancement will be ongoing
The insights gained from your experiences will be relayed to the development team, contributing to our collective pursuit of crafting exceptional software
Expect a close partnership with fellow support agents such as Michael, Nick, and Kevin, as well as direct collaboration with members of our development team, including Thorsten, Bernd, and Moritz

Our take

AI training and data preparation have an accessibility problem, which is why KNIME has created a workflow platform that aids in building analyses for AI models. Using no-code technology, KNIME helps to upskill across various disciplines in an organisation by sharing insights from AI models across all wings of a business.

Effectively, KNIME makes AI monitoring and insights easy to use for the layperson, and this makes it a great foundational tool for building data applications and knowledge bases. What was once an exclusive endeavour has its boundaries opened up, helping more people engage with and learn how to use AI models across social media, finance and retail markets.

A 2024 growth equity investment from INVUS will be channelled into reaching new markets with its cloud analytics platform. Interestingly, though there was interest from other VCs, the company says it chose this partnership because it would not change the company's focus or open source philosophy.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Glassdoor (4.5)

Company

Company benefits

Flexible working hours
Learning & coaching
Sport programs
Language courses
Referral program
Stock options plan
Small stuff support
Afterwork events
Snacks
Health checkups

Company HQ

City, Zürich, ZH

Leadership

Michael Berthold

(CEO)

Previously Honorary Professor at Konstanz University and Director of Data Analysis at Tripos.

Salary benchmarks

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