Cloud System Debug Engineer

Job Title: Cloud System Debug Engineer

Position Overview

Cloud System Debug Engineer

Key Responsibilities

• Debug complex issues across large-scale

  public, private, and hybrid cloud environments

  .
• Knowledge of microservices debugging and cloud-native application behavior.
• Investigate failures in cloud infrastructure components such as networking, storage, virtualization, and orchestration layers.
• Diagnose and resolve system issues in

  Kubernetes clusters

  , including nodes, pods, networking (CNI), and storage (CSI).
• Troubleshoot problems with container runtimes such as Docker, containerd, and CRI-O.
• Debug

  OpenStack

  components including Nova, Neutron, Cinder, Keystone, Glance, Horizon, and related APIs.
• Debug and optimize

  Ceph

  storage clusters, including OSD issues, MON behavior, CRUSH map analysis, and performance bottlenecks.
• Perform deep

  Linux system debugging

  , including kernel-level issues, network stack debugging, storage subsystem issues, and performance anomalies.
• Conduct thorough

  Root Cause Analysis (RCA)

  and implement long-term corrective actions.
• Improve system observability by enhancing monitoring, logging, and tracing using tools like Prometheus, Grafana, ELK/EFK, and Jaeger.
• Develop and refine internal tools and automation for diagnostics, system debugging, and infrastructure monitoring.
• Support production operations through an on-call rotation, addressing high-impact incidents quickly and effectively.
• Optimize cloud and on-premise infrastructure for performance, scalability, and reliability.
• Collaborate with DevOps, SRE, platform engineering, and development teams to resolve infrastructure and cloud platform issues.
• Produce high-quality technical documentation, runbooks, and troubleshooting guides for system and cloud operations.

Required Skills & Qualifications

• 4+ years

  of experience in cloud infrastructure, distributed systems, Linux administration, or systems engineering.
• Good expertise with

  cloud platforms

  (AWS, GCP, Azure) or large-scale

  private cloud environments

  .
• Strong proficiency with

  Kubernetes

  cluster debugging, scaling, and cloud-native architectures.
• Hands-on experience with

  OpenStack

  cloud components and troubleshooting.
• Good knowledge of

  Ceph

  distributed storage systems and cluster tuning.
• In-depth 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.
• Strong analytical, communication, and documentation skills.

Preferred Qualifications

• Certifications in AWS/Azure/GCP, CKA/CKAD/CKS, OpenStack, or Ceph.
• Experience with cloud networking (VXLAN, BGP, SDN, overlay networks).
• Experience designing, analyzing or operating high-availability, multi-region distributed architectures.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).