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Personetics

Senior DevOps Engineer

Personetics

. Design, implement, and maintain CI/CD pipelines .

Posted 11/9/2026full-timeTel Aviv • IsraelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and maintaining CI/CD pipelines, managing cloud infrastructure across AWS, Azure, and GCP, and implementing Infrastructure as Code using Terraform. Proven ability to optimize production environments for high availability and operational excellence while collaborating effectively with cross-functional teams.

Highest-signal resume keywords
CI/CD Pipeline DesignCloud Infrastructure ManagementInfrastructure as Code with TerraformKubernetes ManagementMonitoring and Observability Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
CI/CD ToolsTerraformDockerKubernetesArgo CDKustomizeAWSAzureGCPMonitoring and Observability
Soft Skills
TroubleshootingAnalytical SkillsCommunication Skills
Tools & Technologies
JenkinsGitHub ActionsPrometheusGrafanaELK
Industry Keywords
DevOpsSaaSCloud-Native ArchitectureIncident ManagementRoot Cause Analysis

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformGrafanaJenkinsKubernetesPrometheusTerraform

About the role

Key responsibilities & impact
  • Design, implement, and maintain CI/CD pipelines
  • Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP
  • Develop and maintain Infrastructure as Code using Terraform
  • Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize
  • Lead and support migration of enterprise applications and infrastructure from on-premises environments to scalable SaaS and cloud-native architectures
  • Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence
  • Demonstrate production ownership, including incident management, root cause analysis, capacity planning, and performance optimization
  • Collaborate with Engineering, QA, Product, and AI teams
  • Support deployment, operation, and monitoring of AI and Generative AI services
  • Build and maintain monitoring, logging, and alerting systems
  • Troubleshoot and resolve infrastructure, deployment, and production issues

Requirements

What you’ll need
  • 5+ years of experience as a DevOps Engineer or similar infrastructure-focused role
  • Hands-on experience with Azure, AWS, or GCP
  • Experience with CI/CD tools such as Jenkins, GitHub Actions, or similar platforms
  • Strong knowledge of Terraform and Infrastructure as Code practices
  • Experience with Docker, Kubernetes, Argo CD, and Kustomize
  • Experience designing and operating production-grade Kubernetes SaaS platforms or enterprise environments
  • Experience with monitoring and observability tools such as Prometheus, Grafana, and ELK
  • Strong troubleshooting, analytical, and communication skills
  • B.Sc. in Computer Science, Computer Engineering, Information Systems, or a related field, or equivalent practical experience