Cloud Operations Leader

Cloud Operations Engineer Job Description

We are seeking a highly skilled and experienced Cloud Operations Engineer to join our team. This role will be critical in ensuring the availability, reliability, and performance of our cloud services.

The ideal candidate will possess deep expertise in Kubernetes, cloud operations, and a passion for optimizing complex distributed systems. You will be instrumental in running our production environment, responding to critical incidents, and driving continuous improvement in system reliability and efficiency.

Job Responsibilities:

• Platform Reliability & Availability:
• Run the production environment by proactively monitoring availability and taking a holistic view of system health.
• 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 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.
• 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 for all deployed functions.
• Incident & Problem Management:
• Collaborate on high-priority incident tickets, ensuring rapid system recovery.
• Be on standby to interface with developers when issues arise and provide immediate technical insights and support.
• Lead Problem Management efforts, including Root Cause Analysis (RCA), for complex incidents.
• Identify bugs and work with development teams to prioritize and implement fixes.
• 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.
• 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 for 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 services.
• Provide training and mentorship to junior team members on cloud technologies and SRE practices.
• Work closely with development, network, and security teams to ensure seamless service delivery across the entire architecture.

Required Skills & Qualifications:

• Deep Expertise in Kubernetes: Cluster deployment, management, and troubleshooting for high-performance workloads.
• Proficiency in Cloud Platforms: Experience with at least one major cloud provider with focus on enterprise-grade infrastructure.
• Containerization Technologies: Docker, container.
• RRobin Storage: Hands-on experience with Robin.io or similar 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, 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 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 (RAN) architecture, components, and interfaces, and Core Network (EPC/5GC) architecture, functions, and protocols.

Benefits:

• A competitive salary package and comprehensive benefits.
• Ongoing professional development opportunities.
• A collaborative and dynamic work environment.

Others:

• 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.
• Exceptional analytical and problem-solving skills, with a methodical approach to debugging complex distributed systems.
• Excellent verbal and written communication skills, capable of effectively collaborating with technical and non-technical stakeholders.
• Ability to anticipate issues, identify risks, and propose preventative solutions.
• Proven experience in responding to and resolving critical production incidents in a fast-paced environment.