Senior Solution Engineer

JFrog; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen Solutions Engineer, der an vorderster Front arbeitet und strategische Kunden bei der Implementierung robuster DevSecOps-Prozesse unterstützt. In dieser Rolle werden Sie eng mit den Vertriebs-, Produkt- und Ingenieurteams zusammenarbeiten, um den Kunden den Wert der JFrog-Lösungen zu vermitteln. Wenn Sie leidenschaftlich daran interessiert sind, mit brillanten Menschen zusammenzuarbeiten und die Welt der Software zu verändern, könnte dies die perfekte Gelegenheit für Sie sein. Werden Sie Teil eines dynamischen Teams, das die Softwarebereitstellung revolutioniert und die Zukunft von DevSecOps und MLOps gestaltet.

Qualifikationen

• Mindestens 5 Jahre Erfahrung im technischen Vertrieb oder Sales Engineering.
• Nachgewiesene Erfolge bei der Zusammenarbeit mit Unternehmenskunden.

Aufgaben

• Engagement mit Kunden zur Sicherstellung ihres Erfolgs in DevOps und MLOps.
• Unterstützung der Vertriebsmitarbeiter von JFrog und Beitrag zur Kundenreise.

Kenntnisse

Technischer Vertrieb

DevSecOps

MLOps

Docker

Kubernetes

CI/CD-Server

Git

Linux

Cloud-Infrastrukturen

Software-Architektur

Tools

AWS

Azure

GCP

Jobbeschreibung

Residency in Munich, Stuttgart, Cologne, Frankfurt, Dusseldorf area is required. Currently, this position is remote and does not require work from the office.

At JFrog, we're reinventing DevSecOps and MLOps to help the world's greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you're willing to do more, your career can take off. And since software plays a central role in everyone's lives, you'll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call "liquid software." Wouldn't it be amazing if you could join us on our journey?

We are looking for a Solutions Engineer to be on the front lines, working closely with our strategic customers and prospects, guiding them on how to build robust DevSecOps processes. You will work with our Sales, Product & Engineering teams to help customers understand the value of JFrog solutions from a technical and business perspective.

If you love working with brilliant people, being part of an energetic team and changing the world of software, you might be the perfect Frog to join our team!

As a Solutions Engineer at JFrog you will...

• Engage with customers to ensure their success in their DevOps, DevSecOps and MLOps journeys leveraging the JFrog products.
• Support JFrog's Sales teams with their mission and significantly contribute to the customer journey to build technical win and championship.
• Train our community and customers about DevSecOps, MLOps and JFrog products.
• Represent JFrog in events and conferences.
• Influence the features and roadmap of JFrog products based on customer needs.
• Stay current with the latest technology trends related to the DevOps, DevSecOps and MLOps landscape.

To be a Solutions Engineer at JFrog you need...

• Native spoken & written German and excellent spoken & written English.
• 5+ years experience in Technical Sales or Sales Engineering positions.
• Proven track record of successfully collaborating with enterprise customers to understand their complex needs and deliver tailored solutions.
• Proven experience in Docker, Kubernetes, CI/CD Servers, git, Build tools.
• Ability to build software pipelines with various DevOps tools.
• Hands-on experience in Linux - Mandatory.
• Hands-on experience with cloud infrastructures - AWS / Azure / GCP - Mandatory.
• Experience in Code Vulnerability Assessment OR Supply Chain Security - Advantage.
• Experience with software development in scale, both on-premise and on the cloud.
• Experience with Software Architecture design and product development - Advantage.
• Basic understanding of common ML models - Advantage.