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