Senior Database Administrator
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.
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
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
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
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
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
