High Availability Cloud Operations Engineer

This is a high-availability position within our organization's cloud infrastructure. We are seeking an experienced engineer to manage the reliability and performance of our platform services.

• Key Responsibilities:
• Monitor production environments for potential issues and implement proactive measures to prevent system downtime.
• Improve system quality through automation, process refinement, and best practices.
• Ensure efficient resource utilization and optimal user experience for network services.
• Craft seamless experiences by guaranteeing system availability for critical functions.
• Drive innovation by designing, deploying, and managing Kubernetes clusters and related cloud infrastructure.
• Implement containerization strategies and orchestration best practices for telecom workloads.
• Tackle storage challenges by managing distributed persistent storage solutions within the Kubernetes environment.
• Streamline deployment processes by implementing and managing CI/CD pipelines for cloud-native RAN and Core applications.
• Maximize efficiency by responsible cloud resource provisioning, scaling, and cost optimization for all deployed network functions.
• Maintain high standards for incident response, collaborating with stakeholders to resolve priority tickets and ensure rapid system recovery.
• Provide technical expertise to developers during issue resolution and collaborate with development teams to prioritize and implement fixes for cloud-native network elements.
• Lead Problem Management efforts, including Root Cause Analysis (RCA), for complex incidents affecting cloud deployments.
• Identify bugs and work with development teams to prioritize and implement fixes for cloud-native network elements.
• Design robust monitoring, logging, and alerting solutions for cloud infrastructure and applications supporting critical services.
• Define and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for critical services running in the cloud.
• Develop automation scripts and tools to streamline operational tasks, deployments, and incident response for cloud-native components.
• Evaluate new tools and technologies to enhance operational efficiency.
• Support Governance Reports by providing technical data and insights on cloud platform performance.
• Handle customer queries with technical expertise and provide timely resolutions related to cloud-deployed services.
• Empower junior team members by providing training and mentorship on cloud technologies and SRE practices.
• Foster collaboration between development, network, and security teams to ensure seamless service delivery across the entire network architecture.

• Skills and Qualifications:
• 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.

• Education and Experience:
• 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.