דרושים » מחשבים ורשתות » לחברת Hyp דרוש /ה system Infrastructure Engineer

We are looking for a talented and hands-on DevOps Engineer to join our team and play a key role in building, maintaining, and scaling our cloud infrastructure and delivery pipelines.
What youll do:
Design, implement, and maintain cloud infrastructure across AWS and Azure
Build and manage CI/CD pipelines using Azure DevOps
Develop and maintain Infrastructure as Code using Terraform and Terragrunt
Manage containerized environments using Docker
Administer and maintain Windows and Linux servers
Implement and manage monitoring, logging, and alerting systems using Grafana and related tools
Automate operational processes using PowerShell, Bash, and Python
Collaborate closely with development teams to improve performance, reliability, and system availability
Troubleshoot and resolve issues in complex production environments.

You will join our Media & Telecom division, building and operating mission-critical TV and streaming platforms used by global telecom operators.

This is a hands-on DevOps + SRE hybrid role, focused on engineering, reliability, and large-scale production systems. The team is responsible for designing, improving, and operating highly available services in a fast-moving, production-driven environment.

You will work closely with R&D, NOC, and Product teams, taking ownership of system behavior in production and driving continuous improvements in scalability, performance, and automation.

The day-to-day
Design, build, and improve scalable, highly available systems running on AWS
Work deeply with Kubernetes (K8s), Docker, and Helm charts in production environments
Build and maintain CI/CD pipelines (Jenkins, Argo Workflows) to support rapid and reliable delivery
Develop and manage infrastructure using Terraform (Infrastructure as Code)
Troubleshoot and resolve complex issues in distributed systems across application, infrastructure, network, data, and observability layers
Improve system reliability, monitoring, and observability using tools such as Prometheus, Coralogix (or similar)
Build, integrate, and operate AI-based systems and agents as part of production services
Collaborate with R&D, NOC, and Product teams to drive system improvements and resolve production challenges
Take part in on-call rotations as part of shared production ownership