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).

Compensation

There are three major components to compensation for this position: pay, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $193,000 to $243,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The pay range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.