Consultant

As an Automation Developer and Designer, you would play a critical role in designing, developing, and maintaining automation frameworks that streamline telecom operations, improve efficiency, and enable autonomous networks. Their responsibilities span across CI/CD pipelines, cloud-native infrastructure, AI-driven automation, and observability.

You have:

• You have a background in Computer Science, Engineering, or a related field, with 35+ years of experience in automation or telecom, and strong knowledge of telecom networks, OSS/BSS
• You bring strong programming and scripting expertise in Python, Go, Java, or Bash, along with hands-on experience in Terraform, and API development (REST, gRPC, GraphQL).
• You are skilled in CI/CD and DevOps practices, including Jenkins, GitLab CI, ArgoCD, Docker, Kubernetes, OpenShift, and GitOps methodologies.
• You stand out with additional strengths in observability (Prometheus, ELK, Grafana, OpenTelemetry) and the ability to apply AI/ML models for predictive automation, NLP interfaces, and advanced analytics.
• You thrive in problem-solving and design thinking, applying logical reasoning, scalable workflow design, and Agile collaboration to deliver impactful automation solutions.

It would be nice if you also have:

• Experience with industry standards and frameworks (TM Forum Open APIs, eTOM)
• Knowledge of tools like Terraform, Ansible, Robot and Helm.

• Design, develop, test, and deploy automation scripts and workflows using Python, Go, Bash, YAML, and automation frameworks like Ansible, Robot, and Shell.
• Build and maintain CI/CD pipelines (Jenkins, GitLab, ArgoCD, Tekton) while integrating GitOps practices for cloud-native and telecom environments.
• Automate provisioning, configuration, scaling, failover, lifecycle management, and self-healing of CNFs/VNFs across Kubernetes, Helm, Docker, and telecom cloud platforms (Red Hat OpenStack, VMware Telco Cloud, Wind River).
• Implement real-time monitoring, logging, tracing, and predictive automation with tools like Prometheus, Grafana, ELK/EFK, and OpenTelemetry, enabling closed-loop and self-learning workflows.
• Collaborate with DevOps and Network Engineers to align automation with business goals, provide guidance on best practices, and share knowledge through training sessions.