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.