we are 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.
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.
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
This position is open to all candidates.