Senior Systems Engineer, Digital Pathology

NeoGenomics Laboratories•Aliso Viejo, CA

96d•Hybrid

About The Position

NeoGenomics is looking for a Senior Systems Engineer who wants to learn to continue to learn in order to allow our company to grow. This is a hybrid position in Aliso Viejo, CA with a Monday – Friday, day shift. As an employer, we promise to provide you with a purpose driven mission in which you have the opportunity to save lives by improving patient care through the exceptional work you perform. Together, we will become the world's leading cancer reference laboratory.

Requirements

Bachelor’s degree in Computer Engineering, Electrical Engineering, or equivalent work experience required
12 or more years of experience in systems engineering with a strong focus on Linux administration and high-performance computing (HPC) environments required
Manages petabyte-scale storage systems (NAS, SAN, Object Storage) and parallel file systems (e.g., Lustre, GPFS, Isilon, NetApp) in research or clinical settings
Applies deep expertise in networking optimization for data-intensive workloads (10GbE/40GbE/100GbE, RDMA, TCP/IP tuning)
Designs hybrid infrastructure connecting on-premise data centers to public cloud providers (Azure, AWS)
Supports biomedical instrumentation, imaging pipelines, or genomics workflows
Demonstrates infrastructure mastery with expert-level knowledge of Linux kernel tuning, storage I/O subsystems, and hardware architecture (CPU/GPU/RAM interactions)
Automates system administration and data movement tasks using Python, Bash, or similar scripting languages
Configures and manages job schedulers and workload managers (e.g., Slurm, LSF, Grid Engine) for efficient resource allocation
Applies strong network engineering skills including switching, routing, and firewall configuration for high-throughput scientific data flows
Uses a rigorous problem-solving approach to troubleshoot complex hardware and software bottlenecks in distributed systems

Responsibilities

Designs, deploys, and maintains on-premise high-performance computing clusters and scientific storage solutions (e.g., high-throughput NAS, object storage) tuned for large-scale biomedical data
Optimizes the write path for critical lab instruments (digital pathology scanners, NGS sequencers), ensuring network and storage configurations prevent data bottlenecks during high-volume acquisition
Architects automated data lifecycle policies to move data efficiently between hot local processing tiers, warm on-premise retention, and cold cloud archival, balancing performance with cost
Designs and maintains secure, high-bandwidth connectivity (e.g., Direct Connect, ExpressRoute) between on-premise infrastructure and cloud environments (Azure, AWS), partnering with Cloud DevOps teams to enable seamless hybrid workflows
Monitors and tunes file system performance (I/O profiling), network latency, and job scheduler configurations to meet strict Service Level Agreements (SLAs) for lab turnaround times
Leads technical evaluation, specification, and procurement of specialized compute hardware (GPU nodes for inference) and storage arrays to support growing data volumes
Implements robust local backup and disaster recovery strategies for raw instrument data to ensure data integrity and business continuity prior to cloud replication
Partners with Lab Operations and Engineering teams to troubleshoot complex hardware-software interaction issues at the instrument level
Ensures all on-premise scientific infrastructure adheres to strict security standards (encryption at rest and in transit) and regulatory requirements (HIPAA, GxP)