Qventus

We help hospitals run efficiently by predicting department resource…

Senior Full Stack Engineer (remote friendly company) at Qventus

Location
Remote within the US or Mountain View, CA / Remote
Job Type
Full-time
Experience
6+ years
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About the role

The Company

Have you ever found yourself or a loved one waiting hours and hours in a hospital Emergency Room to get care? Or have you ever had a surgery scheduled for months in the future that needed to happen sooner? Unfortunately, our healthcare system is full of these types of operational problems. Our work saves lives and helps hospitals cut tens of millions of dollars in operational costs, while improving the quality of care they’re able to deliver.

Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.

Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2019 Black Book Awards in healthcare for patient flow and by CB Insights as a 2019 top 100 Most Promising Company in Artificial Intelligence. Recently, Qventus won the Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge through its work helping health systems across the country plan for and operate in the COVID pandemic.

The Role

Qventus is looking for a Senior Full Stack Engineer who has a passion for technology and solving interesting challenges. You will design and implement highly scalable systems and algorithms for high throughput, performance, reliability and latency. You will join some of the brightest and extremely hard-working engineers that are driving data driven decisions across the organization. The output of your work will be instrumental in redefining healthcare operations. We’re taking modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, data science — and applying them to healthcare operations. Come help us simplify how healthcare operates!

Core Position Responsibilities: -Ability to bring your phenomenal technical chops to deliver high quality code, write more code, and write better code while you are at it. -Design and implement highly scalable backend systems and algorithms for high throughput, performance, reliability and latency. -Architect web/mobile applications for company products and deliver technically challenging products. -Create data models and designs using SQL, NoSQL & in-memory databases. -Stay up-to-date on modern security design principles, threats & preventive implementations. -Learn new company technologies and work effectively in a fast-paced dynamic environment. -Design and develop test cases and implement automated test suites. -Work closely with the rest of the team members to develop, test, deploy, and operate high quality software. -You'll guide your team to understand and work through changing priorities by bringing positive energy.

Position Requirements: -5+ years of professional experience as a full stack software engineer working with web technologies. -BS, MS or PhD in Computer Science or equivalent work experience of 5+ years. -Experience with Amazon AWS services or other cloud services. -Experience with React framework. -Experience with Python Flask or Python Django.

Nice to have's: -Experience with GraphQL, WebSockets (highly preferred). -Experience as a team lead or in a supervisory/management role of a team of web and database developers. -Experience with Node JS or Angular (highly desired). -Prior experience working for an enterprise SaaS company is a plus!

Qventus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/

Why you should join Qventus

We are a team of technologists, software engineers, doctors, nurses, and lean healthcare experts with on-the-ground experience solving operational challenges in clinical environments. Qventus helps hospitals like Stanford/Mayo Clinic/Emory/New York Presbyterian reduce wait time for patients, prevent patient falls, and generally helps hospitals deliver a better and safer experience for patients, resulting in reduced injuries, loss of life, and financial waste.

We're making a big difference. Qventus has meaningfully affected patient experiences and outcomes for almost 4 million patients across the united states. Our platform works with hospital data to predict negative outcomes for patients and associated potentially disastrous situations that are likely to occur, then applies our system of action to reach the right doctors and nurses, at the right time, telling them where to go to stop these events before they happen. Think Minority Report applied to hospitals.

Our founding team has done this before. Two of our three founders worked in consulting for over a decade solving efficiency problems in hospitals. They know hospitals, where they've been, where they want to go, and how to work within them to drive the necessary mind shift and change management we need to drive this new wave of technology.

Our team is top notch! We have the fortune of having amazing engineerings and data scientists from top schools (Stanford, MIT, Cal, etc.) applying the latest in artificial intelligence and machine learning to create products that help healthcare organizations around the world and their people adapt in the moment and make the right decisions from the most complex data. Furthermore, we employ several practicing clinicians (practicing surgeons, doctors, nurses) in the company to help us understand the hospital environment. We take what we do very seriously.