Senior Database Administrator Location: Remote or Hybrid in Burlington, VT

About the Role

We are seeking a Senior Database Administrator (DBA) to take ownership of performance, reliability, and evolution of mission-critical healthcare data platforms. This is not a traditional DBA role. You will operate at the intersection of customer environments and product engineering, spending approximately: - 60% working directly with healthcare customers - 40% partnering with R&D and engineering teams You will work across SQL Server and PostgreSQL environments deployed in hybrid architectures (on-prem + cloud), ensuring healthcare providers have fast, reliable, and secure access to critical patient data. An AI-first mindset is required—you will be expected to leverage AI tools to automate operations, accelerate troubleshooting, and improve system intelligence. What You’ll Do – Customer-Facing (≈60%) Act as a trusted technical advisor to customers on database performance, architecture, and reliability Troubleshoot and resolve production issues in high-pressure healthcare environments Optimize systems supporting clinical imaging and patient data workflows Guide customers through best practices for hybrid database deployments Support upgrades, migrations, and environment stabilization efforts What You’ll Do – Engineering & Platform (≈40%) Partner with R&D to improve database architecture, scalability, and observability Contribute to modernization initiatives, including PostgreSQL adoption and cloud optimization Build automation for monitoring, alerting, backup, and recovery workflows Influence product design by bringing real-world customer challenges into engineering decisions Required Qualifications 5+ years of hands-on DBA experience in production environments Strong expertise in Microsoft SQL Server and PostgreSQL Proven experience managing hybrid environments (on-prem + cloud) Experience in customer-facing or production support roles Deep knowledge of performance tuning, high availability/disaster recovery, and backup/recovery strategies Ability to operate effectively in 24/7, mission-critical environments AI-First Expectations Proactively use AI tools to accelerate root cause analysis Automate repetitive operational tasks Improve system monitoring and predictive insights Continuously replace manual DBA workflows with intelligent automation Contribute to building an AI-driven operations model

Preferred Qualifications

Experience in healthcare IT environments Familiarity with DICOM, HL7, or FHIR Experience with clinical imaging systems (VNA, PACS) Experience with large-scale data systems (TB-scale and beyond) Exposure to cloud-native architectures and containerization/Kubernetes Experience with database migration and modernization initiatives