SmarterDx is a clinical AI company transforming how hospitals translate care into payment. They are seeking a highly technical Engineering Manager to lead a senior team of engineers in building mission-critical systems, focusing on developer efficiency and team performance.
Responsibilities:
- Be accountable for all aspects of the team’s performance including velocity of feature delivery, quality, operational excellence, hiring, retention, professional growth, and well-being
- Implement, monitor, and iterate on team metrics to further improve team processes
- Design, build and launch new features and improve the overall quality of our internal and external apps
- Collaborate across disciplines to understand our users and iterate on new ideas
- Protect patients’ privacy by teaching secure coding practices and ensuring they are used throughout the codebase
- Support our apps and systems in production
- Work with the Head of Engineering to improve the broader engineering organization
Requirements:
- 10+ years of software engineering experience
- 4+ years as an engineering manager
- Experience of owning products from development, through delivery to live support and maintenance
- Expertise running an agile process (preferably Kanban) for a team and fluency with the agile toolkit
- Experience in Python, Java, and Typescript or modern Javascript and familiarity with React
- Experience working with Postgres or a similar relational database
- Extensive experience working with product managers to shape and define requirements into small, incremental business-valuable deliverables
- Deep experience designing and implementing microservice-based, event-driven architectures, especially on Kubernetes
- Excellent written and verbal communication skills
- Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent experience
- Experience working at startups, especially in the health tech space
- You're a former startup founder, or have managed a team at a fast-growing startup
- Experience integrating with Epic EMR and FHIR APIs
- Experience building complex data visualization applications
- Experience working with Kubernetes
- Experience with AI development tools and leading their responsible adoption