Senior Systems Engineer (Healthcare & Life Science) - New York

Job Description

Qumulo's cloud data platform manages exabytes of the world's most demanding data, unifying files, objects, and every workload across edge, core, and cloud.

About the Position:

This is the technical lead focusing on Qumulo's healthcare, life sciences, and pharmaceutical accounts. You'll partner with Sales and customers across the full cycle, from discovery through proof-of-concept, designing storage architectures for clinical care, research, and regulated environments.

The work is hands-on with the people doing the work: healthcare IT directors, research informatics teams, compliance officers, and clinical application owners running PACS and VNA systems, EHR platforms, genomic pipelines, and clinical trial data. You'll translate their requirements into solutions that perform at scale and hold up under HIPAA, FDA 21 CFR Part 11, and GxP.

Responsibilities:

Qualifications:

Candidates with the following additional experience will be highly regarded:

The annual pay range for the role is USD $260,000 - $270,000 OTE plus equity. Individual pay depends on various factors, such as role level, relevant experience and skills. Pay ranges are reviewed and typically updated each year. Offers are made within the pay range applicable at the time.

Benefits & Perks:

About Qumulo:Built for the most demanding enterprise workloads, from AI and HPC simulations to Splunk Observability, genomics and PACS medical imaging, geospatial datasets, media editing and rendering, and video surveillance, Qumulo unlocks the full power of an organization’s information. Our platform unifies file and object storage across data centers, edge, and public clouds, enabling efficient, accelerated computing and extending the reach of data unbound by protocol or transport limitations.

With more than 1,100 customers and exabytes of data under management, Qumulo powers mission-critical workloads anywhere real-time access to massive file datasets is non-negotiable. Qumulo delivers radical simplicity, hardware freedom, exceptional customer support, and a true hybrid-cloud architecture.Our Values: At Qumulo, we are building an open and collaborative culture where people can do their best work with customers as our magnetic field. We act as owners, we share by default, we are data driven and experimental and as an inclusive workplace, we encourage and celebrate multiple points of view. For more information on Qumulo's Applicant Privacy Policy, please visit: https://qumulo.com/applicant-employee-privacy-notice

• Own the technical relationship on healthcare and life sciences opportunities, from discovery and demos through POCs and architecture sign-off
• Partner with account teams to qualify deals and shape technical strategies for clinical, research, and regulated workloads including medical imaging, genomics, drug discovery, and clinical trial data
• Design architectures that meet the realities of regulated environments: data sovereignty, audit trails, DR, HA, and secure multi-site collaboration
• Build credibility with healthcare IT, research informatics teams, compliance officers, and clinical application owners
• Build and maintain the healthcare technical toolkit: reference architectures, compliance briefs, solution documentation, and competitive positioning
• 8+ years in a customer-facing technical role (Systems Engineer, Solutions Architect, or Healthcare Solutions Engineer) at a software, storage, or tech company, including 4+ years focused on healthcare, life sciences, or pharma
• Strong grounding in unstructured data storage for regulated environments: imaging performance, lifecycle management, secure access, and archival, including NFS, SMB, and object
• Working knowledge of healthcare data workflows: medical imaging (DICOM, PACS, VNA), EMR, genomics and bioinformatics pipelines, clinical research data, or pharma manufacturing - as well as HIPAA, HITECH, FDA 21 CFR Part 11, GxP, and data retention requirements
• Track record leading complex pre-sales engagements end to end in regulated environments
• Comfort engaging clinical, research, IT, compliance, and executive audiences in the same room
• Experience with HL7, FHIR, medical imaging informatics, genomics file formats (FASTQ, BAM, VCF), or research data management platforms
• Background supporting health systems, IDNs, pharma R&D, biotech research, or CROs
• Familiarity with cloud and hybrid architectures for regulated data, and AI/ML in medical imaging or drug discovery
• Working knowledge of CTMS, EDC, LIMS, or drug discovery computational platforms
• Pre-IPO stock options
• Flexible time-off policy
• HSA and PPO health insurance options
• Choice of an ORCA card or parking subsidy