DevOps Engineer

Petah Tikva, Center District, IL

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Description

mPrest’s Civil Department is at the forefront of developing cutting-edge, real-time, mission-critical platforms in the fields of energy, utilities, and smart infrastructure.

We are looking for a passionate and experienced DevOps Engineer with deep expertise in MLOps, Azure DevOps, and ArgoCD, to help drive scalable deployments and intelligent automation in production environments.

Responsibilities

  • Design and maintain CI/CD pipelines in Azure DevOps for both traditional applications and ML workloads.
  • Develop and manage MLOps workflows for model training, validation, deployment, and monitoring.
  • Automate deployment of services using ArgoCD, Helm, and GitOps best practices.
  • Manage and operate production-grade Kubernetes clusters (on-prem and Azure AKS).
  • Implement Infrastructure as Code (IaC) using Terraform.
  • Collaborate closely with data scientists, software engineers, and infrastructure teams to support end-to-end delivery.
  • Monitor system performance, availability, and reliability using tools like Prometheus, Grafana, and EFK stack.
  • Ensure best practices in security, version control, logging, and compliance.

Requirements

  • 3+ years of experience as a DevOps Engineer in a production environment.
  • Proven expertise in Azure DevOps (Pipelines, Repos, Artifacts).
  • Proficient in ArgoCD, Kubernetes, and container orchestration.
  • Experience with Docker, Git, and versioning strategies.
  • Scripting knowledge in Python, Bash, or PowerShell.
  • Solid understanding of CI/CD, GitOps, and cloud-native architecture.
  • Experience working in hybrid (on-prem + cloud) environments.
  • Customer-facing role; fluent English (spoken and written) is required
  • Basic Network understanding is must

 

Nice to Have

  • Experience in OpenShift platforms
  • Experience working in AWS
  • Familiarity with monitoring/logging solutions: Prometheus, Grafana, Elasticsearch, Kibana.
  • Background working with data pipelines or real-time streaming systems.
  • Hands-on experience with MLOps platforms (e.g., MLflow, Kubeflow, Azure ML).
  • Azure Certifications (e.g., AZ-400, AZ-104).
  • Knowledge in different architecture environments

Why Join Us

  • Be part of a leading-edge technology company solving real-world challenges in energy and infrastructure.
  • Work with a multidisciplinary team of experts in a dynamic and collaborative environment.
  • Enjoy continuous professional development.
  • Opportunity to work on impactful, large-scale projects with national and global reach.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Architecture AWS Azure CI/CD Data pipelines DevOps Docker Elasticsearch Git Grafana Helm Kibana Kubeflow Kubernetes Machine Learning MLFlow MLOps Model training Pipelines Python Security Streaming Terraform

Region: Middle East
Country: Israel

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