Cloud Operations Specialist

We are seeking an exceptional Cloud Engineer to join our team. This role will be critical in ensuring the availability, reliability, and performance of our platform services and applications.

This position requires deep expertise in Kubernetes, cloud operations, and a passion for optimizing complex distributed systems. The ideal candidate will be instrumental in running our production environment, responding to critical incidents, and driving continuous improvement in system reliability and efficiency across both Radio Access Network (RAN) and Core Network functions deployed on cloud infrastructure.

1. Proactively monitor availability and take a holistic view of system health for our cloud-based RAN and Core Network platforms.
2. Improve the reliability and quality of the system through automation, process refinement, and best practices for both RAN and Core cloud components.
3. Measure and optimize system performance to ensure efficient resource utilization and optimal user experience for network services.
4. Evaluate service availability and the underlying infrastructure to guarantee system availability for RAN and Core functions.

• Deep expertise in Kubernetes, with cluster deployment, management, and troubleshooting for high-performance telecom workloads.
• Container orchestration, Pod lifecycle, Deployments, Services, Ingress.
• Helm charts, Kustomize.
• Advanced networking within Kubernetes (CNI, CoreDNS, service mesh concepts).
• Security best practices in Kubernetes, especially for critical network functions.
• Proficiency in Cloud Platforms: Experience with at least one major cloud provider (e.g., AWS, Azure, GCP) with focus on enterprise-grade infrastructure.
• Containerization Technologies: Docker, container.
• Robin Storage: Hands-on experience with Robin.io or similar distributed persistent storage solutions for Kubernetes, particularly for stateful RAN and Core applications.
• Infrastructure as Code (IaC): Terraform, Ansible, or similar tools for automating cloud and Kubernetes deployments.
• Scripting & Automation: Strong proficiency in Python, Go, Bash, or similar for developing automation and tooling.
• Monitoring & Logging Tools: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Datadog, or similar, with experience in large-scale data ingestion and analysis.
• CI/CD Tools: Jenkins, GitLab CI/CD, Argo CD, or similar, for continuous deployment of network functions.
• Operating Systems: Linux (e.g., CentOS, Ubuntu, RHEL) expert-level knowledge.
• Networking Fundamentals: Deep understanding of TCP/IP, DNS, Load Balancing, Firewalls, VPNs, and advanced network concepts relevant to telecom (e.g., SRv6, Segment Routing, GTP-U/C).
• Telecommunications Network Knowledge:
• Strong understanding of Radio Access Network (RAN) architecture, components, and interfaces (e.g., O-RAN, vRAN concepts).
• Strong understanding of Core Network (EPC/5GC) architecture, functions (e.g., AMF, SMF, UPF, MME, SGW, PGW), and protocols.
• Familiarity with network function virtualization (NFV) and software-defined networking (SDN) principles.

• Excellent verbal and written communication skills, capable of effectively collaborating with technical and non-technical stakeholders.
• A strong desire to learn, adapt, and drive continuous improvement in processes and systems.
• Proven experience in responding to and resolving critical production incidents in a fast-paced environment.

• Bachelor's degree in computer science, Engineering, or a related field.
• Minimum of 5-6 years of experience in a Cloud Engineering, DevOps, or SRE role, with a significant focus on Kubernetes and cloud operations, ideally within a telecommunications or high-availability environment.
• Problem-Solving: Exceptional analytical and problem-solving skills, with a methodical approach to debugging complex distributed systems.