Software Engineering Advisor [T500-**]

  • Hyderabad
  • Evernorth Health Services

ABOUT EVERNORTH:

Evernorth exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don’t, won’t or can’t.


Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.


We are always looking upward. And that starts with finding the right talent to help us get there.


Role Title: Full Stack Engineer

Title: Software Engineering Advisor

Position Summary:

The Office for Intelligent Automation (OIA) DevOps team is seeking Full-Stack Software Engineers to work on the Hyper Automation Platform, a scalable data platform. Key components include an Angular-based user interface, a robust set of Application Programming Interfaces (APIs) enabling a wide range of platform integration capabilities, a flexible Machine Learning (ML) document processing pipeline and integration with various Robotic Process Automation (RPA) platforms.


This role will work directly with business partners and other IT team members to understand desired system requirements and to deliver effective solutions within the Agile methodology and participate in all phases of the development and system support life cycle.

Primary responsibilities are to provide design solution for portal integrations, enhancement, and automation requests. The ideal candidate is a technologist that brings a fresh perspective and passion to solve complex functional and technical challenges in a fast-paced and team-oriented environment.


Job Description & Responsibilities:

  • Full stack development including triage, design, coding and implementation
  • Plan and implement procedures that will maximize operating efficiency for application integration technologies, this includes managing the evolution and maturity in agile delivery, automating and improving development operational processes and engineering (Dev Ops).
  • Perform code reviews with scrum teams to approve for Production deployment
  • Conduct research to identify new solutions and methods to fulfill diverse and evolving business needs
  • Establish/Improve/Maintain Proactive monitoring and management of supported assets assuring performance, availability, security, and capacity
  • Identify and drive process improvement opportunities
  • Maintains a strong and collaborative relationship with delivery partners and business stakeholders


Experience Required:

  • This position requires a highly technical, hands-on, motivated and collaborative individual with exceptional communication skills, proven experience working with diverse teams of technical architects, business users and IT areas on all phases of the software development life-cycle
  • Overall 8+ years
  • 2-3 years of experience with Azure or AWS services and Devops practices and tools
  • Expertise in a variety of technologies including, but not limited to C#, Python, Javascript, Angular, API development, XML, AWS, RESTful APIs, ASP.NET Core, and Entity Framework
  • At least 3 years of experience in developing in an agile team structure format leveraging Agile tool sets; preferably Rally or Jira. Understanding of Agile development methodology and concepts including working in sprints, continuous deployment, Unit Testing, creation of testing scenarios, Jira/Rally tools
  • Strong knowledge of Data Integration (batch, real-time) and data analysis techniques
  • Hands on experience in defect triaging and recommending solution
  • Ability to work in a fast paced, demanding, and rapidly changing environment
  • Ability to navigate highly matrixed organization effectively.


Experience Desired:

  • Other preferred technologies include RPA (ex. Blue Prism, Pega), SQL, Git, Docker, Openshift/Kubernetes, Machine Learning based document processing, Splunk (not mandatory)
  • Healthcare experience (preferred but not mandate)


Education and Training Required:

  • Degree in Computer Science, Artificial Intelligence, or a related field.