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.