Cloud Platform Optimization Specialist

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

• 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, the underlying infrastructure is properly functioning, and monitor critical applications and related services.
• 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.
• Manage and troubleshoot Robin storage solutions within the Kubernetes environment.
• Implement and manage CI/CD pipelines for cloud-native applications.
• Responsible for cloud resource provisioning, scaling, and cost optimization.
• Incident & Problem Management:
• Collaborate for high-priority incident tickets, ensuring rapid system recovery.
• 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.
• Monitoring & Alerting:
• Implement and maintain robust monitoring, logging, and alerting solutions.
• Define and track Service Level Indicators and Service Level Objectives for critical services running in the cloud.
• Automation & Tooling:
• Develop and implement automation scripts and tools to streamline operational tasks and deployments.
• 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.

• Deep expertise in Kubernetes: cluster deployment, management, and troubleshooting.
• 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.
• Containerization Technologies: Docker, container.
• R o bin Storage: Hands-on experience with distributed persistent storage solutions for Kubernetes.
• 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, 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.
• Familiarity with network function virtualization and software-defined networking principles.

• 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, 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.