Software Engineering /
At Overjet, we are building applications that improve healthcare, dentistry in particular, by leaps and bounds. We are solving the most challenging problems in dentistry to improve care for millions of patients. Come join us as our Engineering Manager and be an integral part of an exceptional team.
About the Job:
As our first Engineering Manager, you will lead our engineering team covering the insurance and practice applications to successfully deliver SaaS products. This will encompass Data I/O, internal pipelines and application development. This is an opportunity to own the entire tech stack, take products from conception to production, influence technology-based decisions and grow our engineering team.
Setup an automated system for each client with test coverage and developer/ test/ production set-ups.
Get our SaaS systems scaling well in production with optimized pipelines.
Recruit and hire software engineers.
Mentor, train and manage our fullstack engineering team.
Ensure engineers are regularly receiving feedback and that they are making rapid progress on personal and professional goals.
Facilitate planning—the prioritization, sequencing, and staffing of work—for your team.
2+ years of experience leading or managing engineering teams over 5 persons that have shipped high quality products.
Strong background as a software developer, using Agile, Jira, AWS/GCP distributed system development for microservices including serverless, kubernetes, pub/sub, NoSQL and SQL dbs. CI/CD, Java, Python.
You have a bias toward action.
You believe in creating a supportive, collaborative and highly functional team environment and pushing every team member to their maximum potential.
You are extremely data driven and can make business decisions based on data insights.
You know how to recruit and train a world class engineering team.
You have world class communication skills.
A bachelors or masters degree in computer science or a related field.
Experience with Node, React.
Experience with test-driven development.
Security and/or HIPAA compliance experience.
Experience with machine learning pipelines.