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GCP Java Fullstack Engineer

2 months ago


Dearborn, Michigan, United States KYYBA Inc Full time

Client: Automotive

Job Title: GCP Java Fullstack Developer - W2 Candidates

Duration: Long-term

Location: Remote

Shift: A shift

Note: We work on W2 only

Position Overview: The client is dedicated to the vision that mobility enhances human advancement. As we progress towards the future and adapt to societal shifts, we aim to establish ourselves as the most reliable mobility enterprise globally, delivering intelligent vehicles for an intelligent world. We are seeking passionate and skilled Fullstack Software Engineers to develop sophisticated and scalable solutions that facilitate a seamless electric vehicle charging experience. Our team embodies the technical foundation of the Electrification Platform, fostering a robust engineering culture that promotes innovation, growth, and continuous learning.

Required Skills:

  • 6 years of experience in developing object-oriented software and/or web applications using Java and employing testing frameworks such as Junit, while delivering software in an Agile, CI/CD environment.
  • 5 years of experience in managing deployments within cloud platforms, particularly GCP.
  • 4 years of experience in system integration, validation, verification, and automation testing.
  • 4 years of experience in designing and implementing DevOps CI/CD processes.

Preferred Qualifications: Experience in utilizing modern frameworks, open-source tools, and cloud technologies to enhance software development through paired programming and methodologies like test-driven development, continuous integration, and deployment. Proficiency in applying modern techniques and processes such as Agile and LEAN to minimize waste and maximize value throughout the software development lifecycle. Capability to implement distributed, service-oriented, cloud microservice architectures.

Educational Background: Bachelor's degree in computer science, engineering, or a related discipline, or a foreign equivalent degree, or a combination of relevant experience and education. Preferred: Master's degree in engineering, computer science, or a related field in mathematics or science.