DevOps Engineer

At JFrog, we’re reinventing DevOps 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 in our journey?

JFrog is looking for a DevOps Ninja! If you have a strong passion for building next-generation DevOps Platforms in SaaS at scale, you should join JFrog. As a DevOps Engineer, you will be responsible for designing, developing, and implementing mission-critical systems such as Kubernetes, Elasticsearch, PostgreSQL, RabbitMQ, and other cutting-edge technologies while working in a multi-cloud global environment to enable the JFrog DevOps Platform for thousands of customers on the cloud.

As a DevOps Engineer at JFrog you will...

• Work with the latest and greatest technologies like Kubernetes, Helm, Prometheus, Thanos, and more
• Design the best solutions for monitoring large scale SaaS environments, while keeping application and infrastructure challenges in mind
• Develop strong monitoring applications and deployment orchestration using Helm and Python
• Implement CI/CD automated processes concentrating on monitoring processes and tools
• Manage the monitoring and logging systems and solutions, to allow full uptime and availability
• Work with the industry’s major cloud providers: AWS, GCP, & Azure
• Collaborate in a global DevOps environment working closely with our Solution Engineering, R&D, and SRE teams around the world
  
  

• 3+ years of experience with DevOps, strong knowledge of Kubernetes and Helm
• Strong track record in working with metrics-based monitoring solutions like Prometheus and Grafana
• Experience developing in Python or any other advanced programing language
• Familiarity with at least one of the following cloud providers: AWS, GCP, or Azure
• Experience with implementing CI/CD and automation processes for the deployment of the various observability systems
• In-depth knowledge of logging systems and flows; familiarity with ElasticSearch - an advantage
• Familiarity with APM tools such as: NewRelic, DataDog - an advantage