סקירה כללית
^^משרה זו נלקחה מ Career^^Description Harmonya helps retailers and manufacturers overcome the limitations caused by legacy data structures and unlock the true value of their data. It is an AI
• powered product data classification and enrichment platform for retailers and manufacturers. Leveraging proprietary ML and AI models, Harmonya synthesizes data from trillions of alternative data points to generate a holistic and dynamic view of products sold across the country. Join our expanding team as a DevOps Engineer! If you’re passionate about Cloud, Kubernetes, and other cutting
• edge, and want to work alongside a diverse group of engineers and data scientists, this role offers a unique opportunity to make a meaningful impact Responsibilities Implement, manage, and optimize Kubernetes infrastructure and deployments. Develop and maintain CI/CD processes for software applications. Operate and monitor Harmonya production systems. Develop and maintain Infrastructure as Code (IaC) using Terraform/Terragrunt. Collaborate with software and data engineers throughout the development and ML lifecycle. Requirements Requirements Proven experience as a DevOps Engineer with at least 7 years of experience. Hands
• on experience with Kubernetes and CI/CD tools such as GitHub Actions, CircleCI, Jenkins, etc. Experience with IaC, preferably Terraform/Terragrunt. Familiarity with major cloud providers, preferably GCP and AWS. Familiarity with monitoring practices and tools, such as Prometheus/OpenMetrics, OpenTelemetry, and logging collectors. Coding skills, familiar with scripting languages such as Bash/Shell, Python. Advantages Experience with ArgoCD. Experience with data pipelines infrastructure (Airflow). Experience with machine learning infrastructure.
דרישות המשרה
Implement, manage, and optimize Kubernetes infrastructure and deployments. Develop and maintain CI/CD processes for software applications. Operate and monitor Harmonya production systems. Develop and maintain Infrastructure as Code (IaC) using Terraform/Terragrunt. Collaborate with software and data engineers throughout the development and ML lifecycle. Requirements Requirements Proven experience
