Overview
Remote
Depends on Experience
Full Time
No Travel Required
Unable to Provide Sponsorship
Skills
API
Agile
AngularJS
Apache JMeter
Apache Kafka
Apache Maven
Artificial Intelligence
Cascading Style Sheets
CircleCI
Cloud Computing
Continuous Delivery
Dashboard
DevOps
Docker
FOCUS
Generative Artificial Intelligence (AI)
Git
Good Clinical Practice
Google Cloud Platform
HTML
Java
JUnit
JavaScript
Microsoft Azure
Jenkins
Machine Learning (ML)
Vertex
Management
Web Development
Video
Job Details
Position: Cloud Engineer
Location: 100% Remote
Duration: 6 - 9 month CTH
Experience: 8+ years
Visa: Visa Independent
Must have updated LinkedIn
Requirements:
- 5+ years of development experience in one or more of the following languages: Java, SpringBoot, Search, NoSQL MangoDB and/or Kafka
- 3+ years of Web application development experience using one or more of the following: Angular JS/React, CSS, Html, JavaScript and / or Nodejs
- Experience in API request and response Invocations & security.
- Experience within an Agile software development environment
- Experience building Enterprise solutions and managing client requirements and technical solutions
- Experience with cloud computing technologies; possess a track record developing in Google Cloud Platform/Azure or similar public cloud environment
- Experience in a DevOps role working with various technologies like Kubernetes, Argocd, CircleCI, GIT, Jenkins, Maven, JUnit, Docker, JMeter, Artifactory
- CI/CD Pipeline automation experience with Continuous Security Vulnerabilities monitoring (eg, Snyk, Nexus etc.)
- Experience with Machine Learning and/or Artificial Intelligence (Vertex AI, Gen AI, GPT 3.5) modeling
- Experience with containerization technologies like Docker and Kubernetes with a focus on deploying and managing applications
Project Details:
- Part of the member domain team in Aetna Technology
- Team works on the member benefit portal
- Member search capabilities for Employee portal
- Creating a platform where the app is hosted in Google Cloud Platform, Apigee and Kafka on the backend. Open to API Connect or Apigee.
- The application will get real-time data from Noyo who have the member information. They will then create dashboards to see member data and where the information was loaded.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.