DevOps Engineer

Description

DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic is running on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions.

You will be a part of a highly motivated DevOps team. The team has a very significant role in the development cycle of the product.

The role includes complex CI workflows, running on hybrid environments (AWS+On-prem). The role requires high level of independence, the team has vast array of responsibilities. Each team member must be able to learn and progress on his own.

The role requires high level of creativity. The team has to solve many unique issues with cutting edge technologies.

The role requires high level of responsibility. The product is used in critical infrastructure environments. The largest TELCOs in the world. Security & reliability are a major concern.

Requirements

• At least 5 years of experience as DevOps developer
• Very strong analytic and troubleshooting skills
• Experience with writing automation tools
• Full proficiency in – Groovy
• Jenkins as a CI/CD system – Deep understanding of the Jenkins frameworks
• Scripting languages – Bash and Python
• Managing cloud-based environments (AWS)
• AWS automation via CLI and Python API
• Advanced Linux knowledge
• Docker - Containers, Docker compose, docker swarm
• Iaac platforms such as Ansible, Chef, Puppet, Salt, etc.
  
  

• Experience with cloud automation tools such as Terraform, Pulumi, etc.
• EKS/K8S
• Fundamental network knowledge