Cloud Engineer for High-Availability Systems

Cloud Operations L2 Support Engineer Job Overview

This highly skilled Cloud Engineer position is a critical role in ensuring the availability, reliability, and performance of our platform services and applications. The ideal candidate will possess deep expertise in Kubernetes, cloud operations, and a passion for optimizing complex distributed systems.

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 platforms.
• Improve the reliability and quality of the system through automation, process refinement, and best practices.
• Measure and optimize system performance to ensure efficient resource utilization and optimal user experience.
• Ensure services are available and monitor critical applications and related services to guarantee system availability.
• Cloud Operations & Kubernetes Management:
• Design, deploy, and manage Kubernetes clusters and related cloud infrastructure for 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 unique storage needs.
• Implement and manage CI/CD pipelines for cloud-native applications.
• Responsible for cloud resource provisioning, scaling, and cost optimization for deployed network functions.
• Incident & Problem Management:
• Collaborate on high-priority incident tickets, ensuring rapid system recovery for impacted services.
• Provide immediate technical insights and support for cloud-native network functions.
• Lead Problem Management efforts, including Root Cause Analysis, for complex incidents affecting 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.
• Define and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs) for critical services running in the cloud.
• Automation & Tooling:
• Develop and implement automation scripts and tools to streamline operational tasks, deployments, and incident response.
• Evaluate and integrate new tools and technologies to enhance operational efficiency.
• Collaboration & Knowledge Sharing:
• Support governance reports, providing technical data and insights on cloud platform performance.
• 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.

Technical Requirements:

• 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.
• Security best practices in Kubernetes.
• Proficiency in Cloud Platforms: Experience with at least one major cloud provider.
• Containerization Technologies: Docker, container.
• Robin Storage: Hands-on experience with Robin.io or similar distributed persistent storage solutions.
• Infrastructure as Code (IaC): Terraform, Ansible, or similar tools.
• Scripting & Automation: Strong proficiency in Python, Go, Bash, or similar.
• Monitoring & Logging Tools: Prometheus, Grafana, ELK Stack, Splunk, Datadog, or similar.
• CI/CD Tools: Jenkins, GitLab CI/CD, Argo CD, or similar.
• 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.
• Telecommunications Network Knowledge:
• Strong understanding of Radio Access Network architecture, components, and interfaces.
• Strong understanding of Core Network architecture, functions, and protocols.

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.
• Problem-Solving: Exceptional analytical and problem-solving skills.
• Communication: Excellent verbal and written communication skills.
• Proactive Mindset: Ability to anticipate issues and propose preventative solutions.
• Incident Response: Proven experience in responding to and resolving critical production incidents.
• Continuous Improvement: A strong desire to learn and adapt.