In this role, you will:
- Design, implement, and support internal and cloud-based scale-out storage and data systems
- Architect, build and oversee the data and storage infrastructure to ensure robustness and scalability
- Architect, build and maintain geodispersed intelligent robot data layer for all aspects of the company to leverage
- Troubleshoot storage issues deep within the Linux kernel, application code, and network layers to eliminate bottlenecks, deadlocks, and bugs
- Collaborate with developers and software engineers to enhance scalable storage platforms and integrate efficient solutions
Qualifications
- Extensive experience with scaled software defined storage systems such as Ceph, Quobyte, Lustre, GFS, or GLUSTER.
- Proven contributions to the Linux kernel or open-source storage-related projects.
- Proficient in Linux Kernel, network, and storage tuning.
- Strong team leadership, project management and organizational skills
- Ability to script/program in languages such as Rust, Perl, Python, Ruby, Bash, C, etc
- Experience building file systems or data access layers to conform to business needs
- Passionate about the nuances of Scale-Out vs. Scale-Up strategies
- Expertise in object storage technologies like S3 and its compatibles
- Proficiency in network filesystems (NFS, Samba, AFS)
- Skilled in infrastructure automation tools (Puppet, Chef, Ansible, SaltStack)
Bonus Qualifications
- Knowledge of NFSv4, ACLs, and storage security.
- Familiarity with big data technologies such as Elasticsearch, Cassandra, MongoDB, Spark, or HDFS.
- Experience with web services (Nginx, Varnish, Apache, HA Proxy).
- Understanding of virtual platforms (vSphere, Xen, Docker, or KVM).
- Experience with relational database technologies (MySQL, PostgreSQL, OracleDB, etc).
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