Cloud Operations L2 Support Engineer

Job Summary:

Key Responsibilities:

• Platform Reliability & Availability (SRE Focus):

• Run the production environment by proactively monitoring availability and taking a holistic view of system health for our cloud-based

  RAN and Core Network

  platforms.
• Improve the reliability and quality of the system through automation, process refinement, and best practices for both

  RAN and Core

  cloud components.
• Measure and optimize system performance to ensure efficient resource utilization and optimal user experience for network services.
• Ensure services are available, the underlying infrastructure is properly functioning and 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.
• Implement and maintain containerization strategies and orchestration best practices for telecom workloads.
• Manage and troubleshoot Robin storage solutions within the Kubernetes environment, supporting the unique storage needs of

  RAN and Core

  applications.
• Implement and manage CI/CD pipelines for cloud-native

  RAN and Core

  applications.
• Responsible for cloud resource provisioning, scaling, and cost optimization for all deployed network functions.

• Incident & Problem Management:

• Collaborate for high-priority incident tickets (e.g., MIC Reported Incident, Serious/Medium/Small Network Incidents, RIUD Faults), ensuring rapid system recovery for both

  RAN and Core

  impacted services.
• Be on standby to interface with developers when issues arise and get escalated, providing immediate technical insights and support for cloud-native network functions.
• Lead Problem Management efforts, including Root Cause Analysis (RCA), for complex incidents affecting

  RAN and Core

  cloud deployments.
• Identify bugs and work with development teams to prioritize and implement fixes for cloud-native network elements.

• Monitoring & Alerting:

• Implement and maintain robust monitoring, logging, and alerting solutions for cloud infrastructure and applications supporting

  RAN and Core

  services.
• Define and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for critical

  RAN and Core

  services running in the cloud.

• Automation & Tooling:

• Develop and implement automation scripts and tools to streamline operational tasks, deployments, and incident response for cloud-native

  RAN and Core

  components.
• Evaluate and integrate new tools and technologies to enhance operational efficiency.

• Collaboration & Knowledge Sharing:

• Support for Governance Reports, providing technical data and insights on cloud platform performance for

  RAN and Core

  .
• Handle customer queries with technical expertise and provide timely resolutions related to cloud-deployed network services.
• Provide training and mentorship to junior team members on cloud technologies and SRE practices, specifically in the context of telecom networks.
• Work closely with development, network, and security teams to ensure seamless service delivery across the entire network architecture.

Technical Requirements (Most Visible):

• Deep expertise in Kubernetes:

• 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.

Qualifications:

• Education:

  Bachelors 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, 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.

• Communication:

  Excellent verbal and written communication skills, capable of effectively collaborating with technical and non-technical stakeholders.

• Proactive Mindset:

  Ability to anticipate issues, identify risks, and propose preventative solutions.

• Incident Response:

  Proven experience in responding to and resolving critical production incidents in a fast-paced environment.

• Continuous Improvement:

  A strong desire to learn, adapt, and drive continuous improvement in processes and systems.

  Role & responsibilities