Engineering Manager (full-time, one position)
About The Position
LeanTaaS develops software that combines lean principles, predictive and prescriptive analytics, and machine learning to improve hospital and infusion center operations. Its products and change management services are used by health systems and hospitals across the United States to increase patient access, decrease wait times, and reduce healthcare delivery costs. The Engineering Manager works closely with product management, quality assurance, and DevOps to plan product roadmaps and releases, translate product ideas into technical specifications and architecture, and deliver high-quality software. The role includes hands-on development, data engineering and modeling, system design, algorithm implementation, production monitoring, and engineering team leadership. The position is based in Santa Clara, California.
Requirements
- Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Engineering, or a related field.
- At least two years of IT experience, including experience with Java and SQL.
- Any suitable combination of education, training, or experience is acceptable; experience may be acquired concurrently.
Responsibilities
- Work with product management and quality assurance to develop product roadmaps and release schedules.
- Translate product ideas into detailed technical specifications and sound architecture.
- Produce high-quality code using Java, JavaScript, Python, HTML, or CSS.
- Partner with QA and DevOps to build CI/CD pipelines using Jenkins, Docker, and/or AWS and deliver features on time.
- Monitor production environments and systems, including RDS, EC2, and Datadog, and resolve issues promptly.
- Recruit, train, and mentor engineers; conduct regular one-on-ones and performance reviews; and set individual development goals.
- Collaborate with product management to analyze hospital data, identify feature opportunities, and assess feasibility against team resources.
- Use data-driven assessments to estimate technical complexity and prioritize roadmap features.
- Design ETL transformations that convert unstructured EHR data into standardized, processable formats.
- Model large data tables for read/write performance in secure and reliable environments.
- Design complex systems made up of interacting services.
- Implement algorithms supporting analytics, drilldowns, and predictive models for hospital operations.
- Write unit, integration, and other tests to ensure code quality and functionality and catch errors early.
- Monitor production systems for stability and SLA compliance.
- Address performance bottlenecks and deployed-algorithm errors by reviewing logs, metrics, and system traces.
- Align engineering initiatives with business objectives, particularly in healthcare analytics.
Benefits
- Standard corporate benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
