DevOps Engineer

We are looking for a DevOps Engineer to join our telco cloud project, with a focus on automating and scaling infrastructure while embedding AI workflows. You will be responsible for integrating AIOps capabilities using popular tools, implementing Infrastructure as a Code (IaaC), and streamlining the deployment of virtual and containerized network services (VNF/CNF).

Responsibilities

• Build and maintain CI/CD pipelines for deploying AI-powered orchestration services.
• Integrate ML-specific AIOps tools such as Whylogs, MLflow, Kubeflow, or KFServing for intelligent monitoring, automation, and model management..
• Collaborate with data scientists and AI engineers to deploy, monitor, and manage machine learning models within the orchestration framework, ensuring seamless integration of ML monitoring and automation tools.
• Automate infrastructure provisioning using Infrastructure as Code (IaC) tools such as Terraform and Ansible.
• Manage and optimize Kubernetes clusters and container orchestration platforms like OpenShift.
• Deploy and maintain OpenStack environments to support virtual network functions (VNF) and cloud-native network functions (CNF).
• Integrate and manage event-driven automation frameworks for proactive issue resolution.
• Ensure security, logging, and monitoring practices are in place to maintain compliance and reliability.

Required Skills and Qualifications

• Proficiency with Infrastructure as Code (IaaC) tools (e.g., Terraform, Ansible).
• Strong experience with OpenStack, OpenShift, and Kubernetes for cloud orchestration.
• Hands-on experience with ML-focused AIOps tools (e.g., Whylogs, MLflow, Kubeflow, KFServing) and systems dedicated to monitoring machine learning models in production.
• Familiarity with ML model deployment and management workflows, including model versioning, monitoring, and retraining (e.g., MLflow, Kubeflow, KFServing).
• Deep understanding of CI/CD pipelines using tools like Jenkins and ArgoCD,
• Experience with VNF/CNF services and automation in telco environments.
• Strong scripting skills (e.g., Python, Bash) for automation and orchestration.
• Knowledge of network protocols and zero-touch network orchestration.
• Strong problem-solving skills and experience working in agile teams.

Preferred Qualifications

• Exposure to AI/ML Ops workflows and best practices.
• Experience with event-driven automation and tools like Apache Kafka.
• Familiarity with cloud-native monitoring tools and practices for proactive management.
• Certifications in Kubernetes, OpenShift, or OpenStack ( is a big plus.)

*All applications will be treated with strict confidentiality.