About the position

Our Senior Java Developer works as an integrated part of the NICE CEA Cloud Analytics software engineering team with specific focus on developing and delivering software products into a cloud-native production environment. Opportunities will include design and development of microservice architectures, distributed computing, cloud development and big data technologies while developing new functionality or evolving existing ones and supporting a massively scalable analytics solution servicing a global customer base.

Responsibilities

  • Work as a member of an agile team to enhance and improve software written in Java and Python
  • Design and present projects to improve current process and overall platform
  • Code and test projects according to team SDLC processes and best practices
  • Deliver high-quality software on time
  • Attend meetings and training as required
  • Work with engineers, architects, and product management for the successful completion of project work
  • Follow established department procedures, policies, and processes
  • Follow the company Code of Ethics and NICE policies and procedures at all times

Requirements

  • An undergraduate degree in Computer Science or related major course of study
  • 4+ years prior experience developing cloud-native services in a production environment
  • Experience with coding languages such as Java and Python
  • Experience with source control systems, build tools and frameworks (GIT, Gradle, CMake, Jenkins)
  • Scripting experience (Python, Shell, Bash)
  • Experience with AWS and Kubernetes or Docker
  • A strong desire to build additional experience in innovative public cloud technologies
  • Demonstrated abilities as a fast learner with good problem solving and communication skills, who can work independently on engineering tasks and with others
  • Ability to solve challenging problems
  • Ability to learn independently and from others
  • Ability to communicate effectively in English with team members and peers abroad

Nice-to-haves

  • Experience with NLP or experience with machine learning tools and techniques
  • Experience with Analytics, Big Data or Business Intelligence
Hard Skills
Python
3
Bash
1
CMake
1
Docker
1
Git
1
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Soft Skills
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0
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