Top Tech Jobs & Startup Jobs

As a QA Automation Lead, you'll drive automation strategies, design frameworks, mentor teams, and ensure quality in distributed storage systems.

Lead the mechanical design and development of robotic tape automation systems, focusing on material selection, part qualification, and mechanical validation.

The Senior R&D Network Software Engineer designs and develops high-performance networking software and services, collaborates with the team on product features, and resolves issues in existing products while working in an Agile environment.

Design, implement, and optimize Quantum's hyperconverged infrastructure software stack. Work on distributed resource scheduling, software-defined storage, virtual networking, performance tuning (iSCSI, NVMe-oF, DPDK), fault tolerance, live migration, hypervisor and container integrations, and scale-out lifecycle automation to ensure high availability and efficient resource utilization at scale.

Lead and scale the order-to-cash support function: manage and develop the order management team; ensure accurate, timely order processing and revenue controls; drive process improvements; support sales deal enablement; deliver reporting and cross-functional alignment to optimize customer experience and revenue execution.

Lead product strategy and roadmap for Quantum ActiveScale object storage. Translate customer needs into PRDs/MRDs, prioritize features, work with engineering on releases, and drive go-to-market, customer engagement, and lifecycle management for large-scale, hybrid-cloud storage deployments.

Participate in pre-sales technical activities: gather customer requirements, design and document complex shared-storage solutions for Media & Entertainment workflows, deliver technical presentations and demos, create reference architectures, collaborate with sales, partners and PMs, and support RFIs/RFPs and Salesforce updates.

Design, implement, and optimize the core HCI software stack, including distributed resource scheduling, software-defined storage datapath, virtual networking, fault tolerance, and integrations with hypervisors and container runtimes to ensure scalable, high-performance, self-healing hyperconverged infrastructure.

Design, implement, and optimize the distributed storage data path handling I/O from network interface to persistent cluster storage. Work on distributed caching, metadata, placement algorithms, NVMe-oF/RDMA performance tuning, data integrity features (erasure coding, snapshots), lock-free concurrency, scalability, and resilience to achieve low-latency, highly durable storage.

Hands-on role to identify supply chain and manufacturing inefficiencies, design and deploy AI-driven automation, build integrated production solutions across ERP and operational systems, operationalize ML models and data pipelines, monitor performance, and collaborate with operations to reduce cost and cycle time through measurable KPIs.