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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 engagement

Location: Remote options available

Shift: A shift

Note: W2 candidates only

Position Overview: The client is dedicated to the principle that mobility fosters human advancement. As we navigate future challenges and societal shifts, we aim to be the leading mobility provider, delivering innovative vehicles for a dynamic world. We are seeking passionate and skilled Fullstack Software Engineers to develop sophisticated and scalable solutions that enhance the electric vehicle charging experience. Our team is the technical backbone of the Electrification Platform, fostering a robust engineering culture that promotes creativity, professional growth, and continuous learning.

Required Skills:

  • 6 years of experience in developing object-oriented software or web applications using Java and testing frameworks like Junit, with a focus on Agile and CI/CD methodologies.
  • 5 years of experience in managing deployments within cloud environments, preferably 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: Familiarity with modern frameworks, open-source tools, and cloud technologies to effectively develop software through paired programming and methodologies such as test-driven development, continuous integration, and deployment. Utilize contemporary techniques and processes like Agile and LEAN to minimize waste and maximize value throughout the software development lifecycle. Experience in implementing distributed, service-oriented, cloud microservices architectures is advantageous.

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