Back-End Storage Developer

Responsibilities

• Handle the most highly escalated cases by our support/L2 teams to ensure they receive top-level help to provide better customer experience on their most impactful issues.
• Provide help to L2 support engineers.
• Be part of Ceph development teams where you must fix customer-reported issues to ensure our customers and partners receive an enterprise-class product.
• Work to exceed customer expectations by providing outstanding sustaining service and ensuring that regular updates are provided to L2 teams.
• Understand our customer's and partner's needs and work with product management teams on driving these features and fixes directly into the product.

Requirements

• Preferred Education: Master's Degree Required
• Technical and Professional Expertise:
  • Experience working as an engineering support, sustaining or development engineer or directly related experience.
  • Basic Linux Storage System administration experience, including system installation, configuration, maintenance, scripting via BASH, and utilizing Linux tooling for advanced log debugging.
  • Basic troubleshooting and debugging skills, with a passion for problem-solving and investigation.
  • Must be able to work and collaborate with a global team and strive to share knowledge with peers.
  • Experience working with Ceph/Openshift/Kubernetes technologies.
  • Strong scripting (Python, Bash, etc.) and programming skills (C/C++).
  • Able to send upstream patches to fix customer-reported issues.
  • Basic knowledge of Ceph storage architecture, components, and deployment.
  • Hands-on experience with configuring and tuning Ceph clusters.
  • Understanding of RADOS, CephFS, and RBD (Rados Block Device).
• Preferred Technical and Professional Experience:
  • Knowledge of open source development, and working experience in open source projects.
  • Certifications related to Ceph storage and performance testing are a plus.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and their storage services.
  • Experience with container orchestration tools such as Kubernetes.
  • Knowledge of monitoring tools (Prometheus, Grafana) and logging frameworks.
  • Ability to work effectively in a collaborative, cross-functional team environment.
  • Knowledge of AI/ML, exposure to Gen AI.