Viber Published: August 18, 2019
Job Type
Level of education
High school
Level of Hebrew
Location of job
Bnei Barak
How many relevant years experience do you require for the role:
1 year


Viber is one of the most popular apps in the world and the #1 downloaded app to come out of the start-up nation. Working at Viber provides the unique opportunity to influence hundreds of millions of people globally.

We’re looking for a highly motivated DevOps engineer to join our team! This person will work with the most cutting edge cloud technologies on massive scales - this includes orchestrating thousands of servers across the world and working with Petabyte scale data stores.

- Support cloud based software as a service (SaaS) applications
- Collaborate with R&D teams for application infrastructure, deployment and operations
- Use monitoring tools to find problems, resolve and/or escalate to development
- Build and manage development and testing environments, assist developers in debugging application issues using tools
- Participate in the building of tools and processes to support the infrastructure
- Contribute to the creation of system support documents
- Leverage scripting to build required automation and tools (e.g. configuration management)
- Learn on the job and explore new technologies with little supervision


- 1-2 years experience as a DevOps Engineer/SRE
- Background in Linux OS administration
- Basic proficiency writing scripts for automation (Ruby, Python, Bash, etc.)
- Acquaintance with monitoring and alerting tools
- Strong interpersonal and customer care skills

- Experience with Big Data technologies (e.g., Hadoop, Storm, Kafka, Presto, etc.)
- Experience with large scale cloud environments (AWS/GCP/Azure)
- Experience with Networking
- Experience with large scale systems
- Experience with CI/CD systems (e.g., Jenkins)
- Experience with orchestration tools like Ansible/Chef/Puppet
- Experience with NoSQL databases (Couchbase, Cassandra, ElasticSearch, Redis, etc.)
- Experience with the administration of large scale relational databases and data warehouses
- Experience with containers (Docker, Kubernetes, etc.)
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