Exciting time to join CDK Global! We are looking to hire a talented and motivated Senior Software

Engineer (Full Stack) to join our growing team!

This Senior Full-Stack Software Engineer brings expertise as a skilled developer who can handle both

front-end and back-end development tasks within web applications, built with JavaScript technologies.

As a Senior Software Engineer, one will own key functionalities within CDK's cloud-based inventory

management system, that leverages AI features. Our Senior Full-Stack Engineer will play a key role in

developing and maintaining functionalities within CDK's cloud-based inventory management system,

that leverages AI features, using JavaScript and related technologies.

Essential Functions (not limited to):

• Designs, develops, tests, and deploys high-quality, efficient, and maintainable JavaScript code

adhering to best practices and coding standards

• Breaks down complex technical requirements into actionable tasks and write clean, well-

documented, and modular code for reusability

• Implements unit tests using frameworks like Jest and Cypress to ensure the functionality and reliability of their code contributions

• Participates in code reviews, providing constructive feedback to colleagues and fostering a

culture of code quality

• Possess a deep understanding of JavaScript programming language concepts, including object-

oriented programming principles, data structures, and algorithms.

• Stays up-to-date with the latest advancements in JavaScript technologies Vue.js (or other front-end frameworks), and Node.js.

• Troubleshoots and debugs complex software issues, utilizing analytical skills and logical

reasoning.

• Designs and implement solutions to meet technical challenges, considering scalability,

performance, and maintainability

• Works effectively with cross-functional teams (product managers, designers, other engineers)

to understand requirements, translate them into technical solutions, and deliver successful

projects

• Clearly communicates technical concepts to both technical and non-technical audiences,

ensuring everyone is aligned on project goals

• Actively participates in discussions, meetings, and code reviews, fostering collaboration and

knowledge sharing within the team

• Guides and mentors less experienced software engineers, sharing knowledge and best

practices to help them develop their technical skills

• Potentially take on leadership roles within projects, owning technical decisions, and guiding the

team towards successful outcomes

• Contributes to the overall technical health of the codebase by promoting code quality

standards and best practices.

• Demonstrate a strong passion for learning and staying up-to-date with the evolving JavaScript

ecosystem and emerging technologies

• Ability to build efficient, data-driven artificial intelligence systems that advance predictive

analytics and LLM capabilities3

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Required Qualification and Attributes:

• Bachelor's degree in related field with 5+ years of JavaScript programming experience or 8+ years of

progressive JavaScript programming experience

• Programming and design experience to execute on a project independently

• Experience with large scale systems along with exposure to E2E design

• Proficient with test-driven development and web template technologies

• Experience utilizing Agile and Scrum software development methodologies

• Ability to document, track and monitor a problem/issue to a timely resolution

• Knowledge of operating systems

• Collaborative problem-solving ability and self-motivated

• Strong verbal and written communication skills along with prioritization of duties

Strongly Preferred Qualifications:

• Master's degree in related field with 6+ years of programming experience

• Full stack Development: JavaScript, Vue.js, NodeJS

• SQL and NoSQL DB

• Enterprise Distributed Systems Cloud Native (AWS, GCP, Azure)

• Relevant AI-powered inventory management experience

• SaaS or Automotive Industry

• Hands-on experience with supervised machine learning techniques (i.e., classification,

regression, and feature engineering), including model training, evaluation, and optimization

• Knowledge and practical experience in MLOps principles and tools

• Familiar with model deployment techniques (e.g., Docker, Kubernetes) and CI/CD pipelines

tailored for machine learning models

• Experience with data governance and data quality is essential. Familiar with tools and

processes for data validation and cleaning

• Experience in deploying Machine Learning models into production environments. Knowledge

of scalable architectures and cloud computing platforms (e.g., AWS) for deploying and

managing Machine Learning applications

Base Salary Ranges: $85,000 - $115,000

CDK Global is committed to fair and equitable compensation practices. Compensation packages are based on several factors, including but not limited to skills, experience, certifications, and work location. The total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.We offer Medical, dental, and vision benefits in addition to:

• Paid Time Off (PTO)
• 401K Matching Program
• Tuition Reimbursement

At CDK, we believe inclusion and diversity are essential in inspiring meaningful connections to our people, customers and communities. We are open, curious and encourage different views, so that everyone can be their best selves and make an impact.

CDK is an Equal Opportunity Employer committed to creating an inclusive workforce where everyone is valued. Qualified applicants will receive consideration for employment without regard to race, color, creed, ancestry, national origin, gender, sexual orientation, gender identity, gender expression, marital status, creed or religion, age, disability (including pregnancy), results of genetic testing, service in the military, veteran status or any other category protected by law.

Applicants for employment in the US must be authorized to work in the US. CDK may offer employer visa sponsorship to applicants.