Full Stack Software Engineer, Reveleer

• 3+ years of professional hands-on software development experience
• You are an expert at building web applications using HTML, CSS, and at least one JavaScript framework like React.js, AngularJS or Backbone.js
• You have implemented server-side APIs in dynamic languages like NodeJS, Python, working with document and relational datastores (especially Mongo)
• You enjoy spelunking through new datasets
• You have excellent oral and written communication
• You have proven ability to thrive in a collaborative environment involving different stakeholders and subject matter experts
• You are a first principle thinker and enjoy putting yourself in the shoes of the target customer
• Highly motivated, self-learner with great attention to details
• Thrive in a collaborative environment involving different functions, stakeholders, and subject matter experts

Desirable

• As the industry’s pioneering value-based care (VBC) technology platform, Reveleer is purpose-built to solve the most pressing real-world challenges faced by providers and health-plan organizations today.
• By unifying retrieval, clinical intelligence, risk adjustment, quality improvement, and member management solutions into one intelligent, AI-powered system, Reveleer streamlines fragmented workflows to supercharge productivity, enhance care quality, and optimize performance on high-priority value-based initiatives
• Create beautiful web surfaces and interactive dashboard experiences using technologies such as React, JavaScript, CSS
• Build the backend & APIs that power these experiences, defining composable data models and durable interfaces
• Debug production issues across services and multiple levels of the stack with an eye towards improving maintainability over the long term
• Scope, design, and lead technical projects, laying the groundwork for early-stage products to iteratively evolve and scale
• Solve product problems and build delightful user experiences for our users
• Partner closely with other engineers and scientists to build highly scalable, ML driven system(s), help run experiments, and surface insights across all points of customer interactions
• Resolve problems and provide daily troubleshooting, analysis, and problem definition for production issues