DevOps Engineer
Petah Tikva, Center District, IL
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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
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