Chatbot Staff Engineer - Full Stack Developer

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
 
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.

Job Summary:

The Health Care Benefits Delivery organization, within CVSH’s DDAT (Digital Data Analytics Technology) organization, is seeking a Chatbot Staff Engineer - Full Stack Developer to help realize the product features for a Conversational AI platform. This role is helping our members to get answers to their health insurance questions through the channel of their choice.  You will be responsible for helping to align features and user stories to the solution design.  In this role you will have a holistic understanding of the application and serve as an expert on the end-to-end implementation of the application.  

You will make an impact by: 

       Participating in feature refinement sessions with key stakeholders to ensure the specified needs    are clearly articulated, gaps are identified, and to propose adjustments as needed. 

      Recommending technical solutions based on business requirements and prioritization. 

     Creating and proposing solutions for new features with considerations around scale and costs. 

      Identifying data needs for use cases, partnering with Integration Architects to map enterprise services to the user interface. 

Implementing and code the solutions.

   Addressing issues/risks/dependencies in solution recommendations.

Required Qualifications:

• Understanding of architecture patterns to enable scalable solutions for data management, BI, and analytics.
• Deep understanding of data lifecycle management (operational databases, warehouses, integration and governance, pipelining, analytics enablement, and reporting).
• Ability to break down Agile Stories into discreet tasks with estimates for planning.
• Experienced full stack developer that has worked on complex enterprise scale applications. 

Dev Skills Required:

• 7+ years’ experience as a Full Stack Developer using Java focusing on Spring and creating RESTful web services.
• 7+ years of debugging and optimization skills.
• 7+ years’ experience with NodeJS and JavaScript.
• 7+ years of experience creating unit/ integration testing using either Selenium or Junit, etc.  
• 2+ years of Chatbot experience with IBM Watson Assistant, or any other similar chatbot conversational AI tool.
• 5+ years’ experience developing and delivering microservices on OpenShift container platform.
• 5+ years’ experience with either Postman, or SoapUI or Swagger or TeamSite, or Splunk.
• 5+ years’ experience of experience participating in all aspects of agile software development, including design, implementation, and deployment.
• 5+ years of experience with cloud development and deployment principles using either AWS, Azure, or Google Cloud. 

 Enterprise DevOps & Deployment methods:  

     Experience with either Jenkins, Github, or Octopus deployment (CI/CD process).

Preferred Qualifications:

       Experience with IBM Voice gateway and / or IBM Discovery / IBM Watson.

     Understanding of data and analytics tools including Tableau, Alation, DataRobot, Trifacta.

     Experience with .NET and C# development software.

      Critical thinker, with the ability to make decisions on technology aligned to business needs for analytics and data engineering functions.

    Highly motivated, independent worker with a pulse on industry trends and best practices. 

      Good business acumen skills and professional communication skills.

     Ability to work collaboratively in a highly matrixed environment.

​Education

    Bachelor’s degree in computer science and engineering