Senior Systems Engineer, Pathology Solutions

- Design, deploy, and maintain on-premise high-performance computing clusters and scientific storage solutions optimized for large-scale biomedical data - Optimize the write path for critical lab instruments (digital pathology scanners, NGS sequencers) to prevent data bottlenecks during high-volume acquisition - Develop automated data lifecycle policies for efficient data movement between local processing tiers, on-premise retention, and cloud archival, balancing performance and cost - Establish and maintain secure high-bandwidth connectivity (e.g., Direct Connect, ExpressRoute) between on-premise infrastructure and cloud environments (Azure, AWS), collaborating with Cloud DevOps teams to support hybrid workflows - Monitor and adjust file system performance (I/O profiling), network latency, and job scheduler configurations to meet strict Service Level Agreements (SLAs) for lab turnaround times - Lead the technical evaluation, specification, and procurement of specialized compute hardware (GPU nodes for inference) and storage arrays as data volumes grow - Implement robust local backup and disaster recovery strategies for raw instrument data to uphold data integrity and business continuity prior to cloud replication - Collaborate with Lab Operations and Engineering teams to resolve complex hardware-software interaction issues at the instrument level - Ensure compliance of all on-premise scientific infrastructure with stringent security standards (encryption at rest and in transit) and regulatory requirements (HIPAA, GxP)