
Technical Support Engineer
- Heredia
- Permanente
- Tiempo completo
- Responsible for deployment, maintenance and operations on Cohesity clusters deployed worldwide.
- Develop scripts and framework for automating repetitive tasks.
- Debug issues with backups on Microsoft Hyper-V, VMware vSphere and Linux KVM hypervisors.
- Provide support on clusters deployed in cloud platforms like Amazon Web Services, Microsoft Azure and Google Cloud Platform.
- Write scripts using bash or python for log capture and analysis on large clusters.
- Proactively monitor and manage the availability of clusters and associated applications.
- Perform performance analysis, tuning and provide recommendations on issues and suggest cluster expansion if required.
- Define and lead changes to the Cohesity Data platform to product engineering teams based on feedback from deployments.
- Provide support for issues pertaining to Powershell cmdlets and RESTful APIs and provide scripts for automating tasks on Cohesity Data Platform.
- Work on debugging and resolving technical issues with the CentOS Platform.
- Bachelor's degree with 5+ years of experience or Master’s degree specializing in storage, networking or virtualization.
- Demonstrated fluency in English.
- Experience with Python, Bash or Powershell.
- Deep understanding of Linux platform and ability to identify and resolve issues with the Linux kernel associated with storage, networking, compute and memory.
- Ability to analyze system diagnostics and clearly articulate issues.
- Good understanding of Linux debugging utilities, with an emphasis on systemtap, tcpdump ftrace, strace, wireshark, gdb, and crash.
- Experience with remote file access protocols, including NFS, SMB (CIFS).
- Strong experience with storage-related concepts, including virtualization and data protection (e.g. VMware, CommVault, Symantec, EMC, NetApp).
- Experience working with a distributed file system.
- Performance analysis experience.
- CentOS Linux Platform Architecture experience.
- Experience debugging complex, serialized, multi-threaded code.