
201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
☁️ SaaS
💰 $130M Series D on 2020-12
Artificial Intelligence • Healthcare Insurance • SaaS
LeanTaaS is a company that helps hospitals and ambulatory service providers optimize their capacity and operations through AI, machine learning, and predictive analytics. By leveraging these technologies, LeanTaaS enables healthcare organizations to maximize capacity, improve ROI, and enhance patient experience without needing more capital or staff. Their solutions focus on areas such as operating rooms, infusion centers, and inpatient flow, aiming to streamline patient throughput, optimize staff utilization, and reduce staff burnout. The company also offers 'Transformation as a Service' to ensure successful implementation and change management within healthcare settings. Their iQueue solution suite is cloud-based, providing real-time insights and forecasting tools to improve scheduling, capacity management, and decision-making, ultimately benefiting patients, providers, and the healthcare system's bottom line.
🔥 0 minutes ago
🐻 Alaska, Arizona, +31 more states – Remote
💵 $170k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📀 Database Administrator
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
☁️ SaaS
💰 $130M Series D on 2020-12
Artificial Intelligence • Healthcare Insurance • SaaS
LeanTaaS is a company that helps hospitals and ambulatory service providers optimize their capacity and operations through AI, machine learning, and predictive analytics. By leveraging these technologies, LeanTaaS enables healthcare organizations to maximize capacity, improve ROI, and enhance patient experience without needing more capital or staff. Their solutions focus on areas such as operating rooms, infusion centers, and inpatient flow, aiming to streamline patient throughput, optimize staff utilization, and reduce staff burnout. The company also offers 'Transformation as a Service' to ensure successful implementation and change management within healthcare settings. Their iQueue solution suite is cloud-based, providing real-time insights and forecasting tools to improve scheduling, capacity management, and decision-making, ultimately benefiting patients, providers, and the healthcare system's bottom line.
• As the Platform Database Administrator (DBA) for Aurora, serve as the architectural and operational anchor for high-scale database environments. • Bridge the gap between technical data layers and production feature engineering. • Take full ownership of database performance tuning, optimization strategies, and system reliability across core software suites. • Sustain consistent system performance and reliability across 400+ database schemas, managing comprehensive schema migrations and tracking client-specific data growth metrics. • Supervise AWS Aurora-specific environments, orchestrating cluster endpoint routing configurations, managing failover behaviors, executing parameter tuning, and troubleshooting data warehouse / read replica lags. • Apply deep knowledge of InnoDB core internals to manage lock behaviors, resolve complex lock contentions, adjust buffer pool parameters, and systematically reduce purge lags across write-heavy database clusters. • Diagnose and optimize heavy database pipelines utilizing INSERT...SELECT queries and computed-table patterns. • Analyze Aurora instance utilization models against pricing factors to right-size compute resources and minimize I/O waste stemming from unoptimized queries.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related quantitative field, or equivalent years of related practical enterprise experience. • Extensive experience administering AWS relational database environments, with specific knowledge of AWS Aurora architectures (read replica scaling, cluster topologies, and parameters). • A proactive automation mindset with experience scripting solutions for schema drift detection, slow-query automated alerts, or automated indexing recommendations across massive multi-database topologies. • Deep professional mastery of MySQL/InnoDB core behaviors—specifically buffer pool configuration, transaction isolation levels, lock mechanics, and Multi-Version Concurrency Control (MVCC). • Demonstrated expertise in system-level database performance profiling, query rewrites, and the engineering of advanced indexing strategies for large-scale applications. • Excellent communication and collaboration skills, with a track record of translating complex database concepts for software engineering teams and prioritizing work based on cross-product impact.
• Competitive compensation package that includes base salary, target bonus, and stock options • 401(k) Match • Comprehensive healthcare benefits • Generous Paid Time Off and Parental Leave • Monthly reimbursement for Skill Building • Monthly reimbursement for Wellness, Transportation, and/or Home Office • Education Reimbursement for select courses/programs
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