object-storage jobs in San Diego

Design, deploy, and manage enterprise backup solutions for Navy mission systems with primary responsibility for Commvault administration. Support backup and restore workflows across Windows Server and VMware vSphere environments, automate routine operations with PowerShell, and troubleshoot production issues.…See more Requires 8+ years of enterprise backup platform experience with hands-on Commvault administration, 5+ years supporting Windows Server networks, and 2+ years operating VMware vSphere environments.

Design, deploy, and support enterprise backup and recovery systems for the U.S. Navy using Commvault, Windows Server, VMware vSphere, and Azure.…See more Administer backup platforms at scale, including CommCell, Media Agents, deduplication, encryption, and air-gap/immutability configurations. Develop best-practice data protection strategies, hardened installation procedures aligned to Navy standards, and provide troubleshooting and optimization support for mission-critical workloads. Required: 8+ years administering enterprise backup platforms, 5+ years supporting Windows Server production environments, 2+ years operating VMware vSphere, 2+ years PowerShell scripting, and DoD 8570.11 IAT Level II certification.

Staff Engineer leading the design and operation of Shield AI's data platform to support autonomous systems, ML workflows, and edge-to-cloud data flows. You will architect distributed storage and compute solutions, build first-party integrations for heterogeneous data sources, and establish operational standards for reliability, security, and observability.…See more The role requires deep expertise in data modeling, API design, distributed systems, Kubernetes infrastructure, and the ability to guide technical direction across autonomy, ML, test, and infrastructure teams.

Build and operate the data and ML infrastructure powering an AI platform for materials science, owning both sides: data pipelines that ingest and curate large-scale scientific output into training-ready formats, and model packaging, serving, monitoring, and CI/CD systems that move models safely from research to production across customer environments. You will design data ingestion and transformation workflows, implement validation and quality gates, package and version models with reproducible builds, run models through batch and online inference with safe rollout and rollback, monitor for drift and degradation, and build observability and internal tooling for engineering and science teams.…See more The role requires 6+ years shipping production software with deep expertise in data systems, ML infrastructure, containers, orchestration, and observability.

As Principal Software Engineer for AI & Data Platform, you will architect the data foundation for scientific and engineering R&D platforms, designing scalable data processing patterns, ML training pipelines, and intelligent workflow interfaces. You will own end-to-end responsibilities including data modeling for multi-use analytics and ML, building production training and fine-tuning pipelines, model evaluation and benchmarking, and setting engineering standards for the team.…See more The role requires 10+ years shipping production software, expert-level Python, deep experience with large-scale data systems (object storage, analytical processing, training formats), hands-on ML pipeline development, and the ability to set technical direction in early-stage environments while implementing it yourself.