Cloud Operations Specialist

4 days ago

Kanpur, Uttar Pradesh, India beBeecloudoperations Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Overview

We're seeking a seasoned Cloud Operations Engineer to ensure the reliability, availability, and performance of our cloud-based Radio Access Network (RAN) and Core Network functions deployed on cloud infrastructure.

This role will be critical in guaranteeing system availability for RAN and Core functions, collaborating with cross-functional teams to resolve high-priority incidents, and implementing robust monitoring and logging solutions.

Key Responsibilities:

  • Platform Reliability & Availability: Ensure services are available, monitor critical applications and related services to guarantee system availability for RAN and Core functions.
  • Cloud Operations & Kubernetes Management: Design, deploy, and manage Kubernetes clusters and related cloud infrastructure for both RAN and Core Network application deployments.
  • Incident & Problem Management: Collaborate on high-priority incident tickets, ensuring rapid system recovery for both RAN and Core impacted services.
  • Monitoring & Alerting: Implement and maintain robust monitoring, logging, and alerting solutions for cloud infrastructure and applications supporting RAN and Core services.
  • Automation & Tooling: Develop and implement automation scripts and tools to streamline operational tasks, deployments, and incident response for cloud-native RAN and Core components.

Technical Requirements:

  • Deep expertise in Kubernetes: Cluster deployment, management, and troubleshooting for high-performance telecom workloads.
  • 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.
  • 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.
  • Operating Systems: Linux expert-level knowledge.
  • Networking Fundamentals: Deep understanding of TCP/IP, DNS, Load Balancing, Firewalls, VPNs, and advanced network concepts relevant to telecom.

Qualifications:

  • Education: Bachelor's degree in computer science, Engineering, or a related field.
  • Experience: Minimum of 5-6 years of experience in a Cloud Engineering, DevOps, or SRE role, with a significant focus on Kubernetes and cloud operations.
  • Problem-Solving: Exceptional analytical and problem-solving skills, with a methodical approach to debugging complex distributed systems.
  • Communication: Excellent verbal and written communication skills, capable of effectively collaborating with technical and non-technical stakeholders.

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