What are the responsibilities and job description for the Sr. Cloud Automation Engineer position at SIDRAM TECHNOLOGIES?
Sr. Cloud Automation Engineer – Onsite, Denver only
Bill rate : 50W2
No. of Positions : 1
Relevant Work Experience : 5 Years strong experience in AWS, Kubernetes, O-RAN, Python and CI-CD Pipelines
Key Responsibilities
Oversee AWS-based cloud resources for Open RAN deployments.
Design and implement Open RAN architecture with seamless cloud integration.
Manage and scale Kubernetes clusters for high-performing Open RAN workloads.
Automate cloud and Open RAN deployment using tools like Airflow, Ansible, and Terraform.
Implement monitoring and automated incident response for minimal downtime.
Create and maintain technical documentation, collaborating across teams to drive innovation.
Education And Experience
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field; or equivalent combination of education and experience
Minimum of 5 years of experience with AWS or related cloud technologies, with a focus on automation and management
Skills And Qualifications
Good understanding of Open RAN architecture, including RAN CU and DU deployments.
Extensive hands-on experience managing Kubernetes clusters and deploying microservices.
Proficient in networking concepts relevant to Kubernetes and Open RAN (e.g., ingress controllers, service meshes).
Strong problem-solving skills with a collaborative approach to team challenges.
Excellent communication skills for documenting requirements and facilitating discussions with stakeholders.
Familiar with CI/CD pipelines and Kubernetes tools (Helm, Prometheus) for managing and automating operations.
Bill rate : 50W2
No. of Positions : 1
Relevant Work Experience : 5 Years strong experience in AWS, Kubernetes, O-RAN, Python and CI-CD Pipelines
Key Responsibilities
Oversee AWS-based cloud resources for Open RAN deployments.
Design and implement Open RAN architecture with seamless cloud integration.
Manage and scale Kubernetes clusters for high-performing Open RAN workloads.
Automate cloud and Open RAN deployment using tools like Airflow, Ansible, and Terraform.
Implement monitoring and automated incident response for minimal downtime.
Create and maintain technical documentation, collaborating across teams to drive innovation.
Education And Experience
Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field; or equivalent combination of education and experience
Minimum of 5 years of experience with AWS or related cloud technologies, with a focus on automation and management
Skills And Qualifications
Good understanding of Open RAN architecture, including RAN CU and DU deployments.
Extensive hands-on experience managing Kubernetes clusters and deploying microservices.
Proficient in networking concepts relevant to Kubernetes and Open RAN (e.g., ingress controllers, service meshes).
Strong problem-solving skills with a collaborative approach to team challenges.
Excellent communication skills for documenting requirements and facilitating discussions with stakeholders.
Familiar with CI/CD pipelines and Kubernetes tools (Helm, Prometheus) for managing and automating operations.
