Search the 8 jobs at John Deere

Seeking a Senior Software Engineer with 5 years of experience to design and implement software applications with microservices architecture. Responsibilities include developing front-end applications using ReactJS, managing CI/CD pipelines, and ensuring code quality through TDD approach.

Lead Data Scientist role at John Deere in Chicago, IL, responsible for driving eCommerce growth and enhancing the digital customer experience through data science projects. Lead and execute projects, mentor junior talent, lead code reviews, and collaborate with global teams. Requires 8 years of analytics experience, proficiency in Python, SQL, and advanced data science techniques.

Lead the design, development, and implementation of battery management system algorithms. Interface with testing and modeling teams. Explore advanced algorithms and contribute to the electrification journey towards a sustainable future.

Design and develop application front-end and backend systems, ensure code quality, and deploy code using CI/CD. Bachelor's degree in Computer Science or related field required.

Seeking a Software Engineer with 4 years of experience in Java web development, Spring, Restful APIs, DevOps principles, and cloud technologies. Responsibilities include designing, developing, testing, and integrating software solutions and working in an Agile/Scrum team environment.

Seeking a Software Engineer to develop applications, integrate systems, and design user interfaces. Requires 3 years of experience and a Bachelor's degree in Computer Science.

Assist in developing engine model capabilities, methodologies, processes, and tools. Provide support to engine development programs, conducting performance analysis simulations and optimization tasks. Assist in developing model test protocols, calibration procedures, and analysis methodologies. Assist in supporting model architecture and workflow processes deployed throughout engine engineering.

Seeking a Senior Software Engineer to perform data analysis, design, develop and test data services, establish data pipelines, design best practices for continuous process automation, create and maintain data analytics environment, identify performance bottlenecks, and provide data insights to architect team.