Job
Description
As a Cloud System Debug Engineer, your primary role will involve diagnosing, analyzing, and resolving complex issues across large-scale public, private, and hybrid cloud environments. You will be responsible for ensuring high availability, performance, and reliability of mission-critical systems across multi-cloud platforms. Your key responsibilities will include: - Debugging complex issues in cloud infrastructure components such as networking, storage, virtualization, and orchestration layers. - Investigating failures in Kubernetes clusters, including nodes, pods, networking (CNI), and storage (CSI). - Troubleshooting problems with container runtimes like Docker, containerd, and CRI-O. - Debugging OpenStack components such as Nova, Neutron, Cinder, Keystone, Glance, Horizon, and related APIs. - Optimizing Ceph storage clusters, including OSD issues, MON behavior, CRUSH map analysis, and performance bottlenecks. - Conducting deep Linux system debugging including kernel-level issues, network stack debugging, storage subsystem issues, and performance anomalies. - Enhancing system observability through monitoring, logging, and tracing tools like Prometheus, Grafana, ELK/EFK, and Jaeger. - Developing internal tools and automation for diagnostics, system debugging, and infrastructure monitoring. - Supporting production operations through an on-call rotation to address high-impact incidents quickly. - Collaborating with DevOps, SRE, platform engineering, and development teams to resolve infrastructure and cloud platform issues. - Producing technical documentation, runbooks, and troubleshooting guides for system and cloud operations. In terms of qualifications, you should have: - 4+ years of experience in cloud infrastructure, distributed systems, Linux administration, or systems engineering. - Expertise with cloud platforms (AWS, GCP, Azure) or large-scale private cloud environments. - Proficiency with Kubernetes cluster debugging, scaling, and cloud-native architectures. - Hands-on experience with OpenStack cloud components and troubleshooting. - Knowledge of Ceph distributed storage systems and cluster tuning. - Understanding of Linux internals, including networking, kernel behavior, process management, and storage subsystems. - Strong scripting/automation experience (Bash, Python, Ansible, Terraform, Helm). - Experience analyzing system logs, traces, crashes, and performance metrics in distributed systems. - Proficiency with observability stacks such as Prometheus, Grafana, OpenTelemetry. - Ability to debug complex interactions between cloud services, orchestration tools, and infrastructure layers. Preferred qualifications include certifications in AWS/Azure/GCP, CKA/CKAD/CKS, OpenStack, or Ceph, as well as experience with cloud networking and designing high-availability distributed architectures. Your educational background should include a Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent experience.,
