Note: The job is a remote job and is open to candidates in USA. OXIO is seeking a skilled Telecom Cloud Engineer with strong experience in telecommunications and cloud-native infrastructure. The role involves implementing and optimizing telecom network functions in virtualized environments, collaborating with vendors and internal teams, and managing the end-to-end lifecycle of telecom network operations.

Responsibilities

• Execute full lifecycle implementation of telecom network functions in cloud-native environments
• Collaborate with internal stakeholders, external vendors, and cloud providers
• Manage design, deployment, acceptance, operations, documentation, and support activities
• Ensure smooth handover from deployment to operations with proper knowledge transfer
• Work across full mobile network architecture and network elements (NEs)
• Support technologies across 2G, 3G, 4G, 5G, and Fixed Wireless Access (FWA)
• Manage core network functions including:
• Packet Core
• IMS Core
• Charging & Policy
• Registration & Subscriber Repositories
• Apply deep knowledge of telecom protocols and architectures
• Implement and maintain FCAPS (Fault, Configuration, Accounting, Performance, Security) frameworks
• Deploy and operate telecom infrastructure in cloud-native environments
• Work with platforms including AWS, Azure, OpenShift, and VMware
• Configure and manage infrastructure templates (e.g., Heat, YAML)
• Ensure adherence to deployment standards and best practices
• Continuously improve deployment and operational processes
• Partner with R&D and Engineering teams to automate workflows
• Identify opportunities to enhance efficiency, reliability, and scalability
• Support development of infrastructure-as-code and automation frameworks

Skills

• Bachelor's or Master's degree in Telecommunications, Networking, or related field
• 15+ years of experience in network architecture, wireless networking, and virtualization
• Strong experience with cloud networking and infrastructure platforms (AWS, Azure, OpenShift, VMware)
• Excellent technical documentation and communication skills
• Strong troubleshooting, performance optimization, and production support experience
• Familiarity with AI fundamentals and their application in network operations is a plus
• Relevant technical certifications are an asset
• AWS, Azure, or Kubernetes certifications
• Cisco certifications (CCNP, CCIE, or equivalent)
• Telecom vendor certifications

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