Lead architect and operator of the data layer for a vertically integrated AI cloud, managing worldwide storage environment and influencing vendor roadmaps.
Compensation
Compensation will be paid in the range of up to $215,000 - $255,000 + Bonus. Restricted Stock Units are included in all offers.
Responsibilities
Evaluate performance of block, file, and object storage systems
Design and execute PoC exercises
Own bring-up, configuration, and performance tuning of large enterprise arrays
Collaborate with Compute and Networking teams to build cloud infrastructure
Lead technical evaluation of new storage technologies
Senior Analyst responsible for data center and operations engineering, managing servers, databases, cloud infrastructure, and facilities in Apodaca, Mexico.
Responsibilities
Manage servers and databases
Ensure remediation of vulnerabilities and patching
Follow up on incidents, problem records, and problem management meetings
Attend cab and pre-cab meetings to follow up change management process
Work closely with vendors
Requirements
Bachelor's degree in Technology Information or related technical field
Nice to have: ITIL and/or Google Cloud Certification
Nice to have: People leader (previous experience)
Nice to have: High sense of Urgency
Nice to have: Ability to manage multiple priorities and commitments concurrently
Lead and manage enterprise and cloud infrastructure, security, and operations across on-premises and cloud environments.
Compensation
Base Salary Range: $108,000.00 - $162,000.00, offered in good faith and based on experience, location, and qualifications. Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success.
Responsibilities
Lead VMware vSphere/ESXi architecture, cluster operations, lifecycle management, and performance tuning.
Support HPE Synergy compute infrastructure, firmware updates, and template management.
Administer enterprise storage platforms including Pure Storage and HPE systems; manage Cloudian HyperStore object storage and capacity planning.
Support Komprise data lifecycle management, analytics, and file tiering optimization.
Participate in data center buildouts, hardware refresh planning, rack/power design, and operational support.
Requirements
Nice to have: HPE Synergy composable infrastructure
Design, deploy, and support distributed file systems and object storage platforms used by large-scale AI, analytics, and HPC workloads.
Manage storage environments supporting shared research, analytics, model training datasets, and checkpoint storage requirements.
Troubleshoot and optimize storage performance across metadata services, throughput, latency, caching, networking, and data-access patterns.
Build and maintain automation for provisioning, capacity expansion, upgrades, recovery processes, and lifecycle management.
Manage data movement, replication, migration, and synchronization across multiple clusters, regions, and cloud environments while maintaining security and data integrity.
Skills
Data Systems Analyst & Infrastructure Modernization Specialist
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